This document discusses various techniques for encoding signals for wireless transmission, including:
- Digital data must be converted to analog signals using techniques like amplitude-shift keying, frequency-shift keying, and phase-shift keying. Analog signals can also be modulated to higher frequencies for transmission.
- Analog signals can be converted to digital for transmission using pulse code modulation (PCM) or delta modulation (DM). PCM assigns a binary code to analog samples while DM approximates the analog signal as a staircase function.
- Key factors in signal encoding are the signal-to-noise ratio, data rate, bandwidth, clocking, interference immunity, and cost/complexity of the scheme. Higher data rates
The document discusses various techniques for encoding digital and analog data into digital and analog signals for transmission. It describes digital-to-digital encoding formats like NRZ-L, NRZ-I, AMI, and Manchester coding. It also covers analog-to-digital conversion using PCM and DM, as well as digital-to-analog modulation techniques like ASK, FSK, and PSK that can be used to transmit digital data over analog transmission systems. Finally, it discusses how analog data is modulated using AM, FM, or PM onto a carrier frequency for analog transmission.
Data encoding refers to techniques for representing data or information as electrical, electromagnetic or optical signals that can be transmitted through a communication link between devices. The document discusses different types of data (analog and digital) and signals (analog and digital) and how they relate. It also covers various encoding schemes for digital data transmission including NRZ, Manchester, and others, discussing their advantages and disadvantages. Modulation techniques for representing digital data on an analog signal like ASK, FSK and PSK are also introduced.
The document discusses different methods of encoding and modulating digital and analog signals for transmission. It covers digital-to-digital encoding techniques like unipolar, polar, Manchester and differential Manchester encoding. It also discusses analog-to-digital conversion techniques like PAM and PCM. Finally, it discusses analog-to-analog modulation techniques like AM, FM and PM and how they modulate parameters of a carrier signal to transmit an analog signal.
This document discusses various techniques for encoding digital signals for transmission, including:
1) Non-return-to-zero (NRZ) encoding schemes which use different voltage levels to represent 1s and 0s without returning to a baseline between bits.
2) Manchester and differential Manchester encoding which add transitions in the middle or start of each bit to provide clocking functionality.
3) Phase-shift keying (PSK) and quadrature PSK (QPSK) which represent data by shifting the phase of the carrier signal.
4) Amplitude-shift keying (ASK), frequency-shift keying (FSK), and quadrature amplitude modulation (QAM) which are used to transmit
Digital signals can be encoded in various ways:
1) NRZ-L uses two voltage levels to represent 0s and 1s, maintaining a constant level during each bit.
2) NRZI represents 1s as transitions and 0s as no transitions at the start of each bit.
3) Bipolar-AMI represents 0s as no signal and alternating positive and negative pulses for 1s, eliminating long runs of the same signal.
This document discusses various techniques for encoding digital data onto analog signals for transmission. It begins with an overview of encoding and modulation. Digital data can be encoded as either a digital or analog signal. When encoded as an analog signal, various modulation techniques can be used including amplitude shift keying, frequency shift keying, and phase shift keying. For digital to digital encoding, techniques like non-return to zero and biphase encoding are discussed. The techniques are evaluated based on factors like bandwidth usage, synchronization capability, and noise immunity. Overall, the document provides an overview of common encoding and modulation techniques used in data communications.
This document discusses various digital signal encoding techniques. It covers:
1) Digital data encoding with digital signals, including return to zero (RZ), non-return to zero level (NRZ-L), non-return to zero inverted (NRZI), bipolar AMI, pseudoternary, Manchester, and differential Manchester encoding.
2) Digital data encoding with analog signals, including amplitude shift keying (ASK), frequency shift keying (FSK), phase shift keying (PSK), differential PSK (DPSK), and quadrature PSK (QPSK).
3) It provides examples and comparisons of the encoding techniques, discussing their advantages, disadvantages, and applications. Homework exercises are assigned
1. The document discusses various techniques for encoding digital and analog data for transmission as digital or analog signals. It describes common encoding schemes like NRZ-L, Manchester, and techniques for modulating analog signals like ASK, FSK, and PSK.
2. Key digital encoding techniques covered are NRZ-L, NRZI, bipolar AMI, Manchester, and differential Manchester. Modulation of analog signals to digital signals using PCM and delta modulation are also discussed.
3. Performance tradeoffs of different encoding schemes like bandwidth requirements, error detection capabilities, and signal-to-noise ratio impacts are compared.
The document discusses various techniques for encoding digital and analog data into digital and analog signals for transmission. It describes digital-to-digital encoding formats like NRZ-L, NRZ-I, AMI, and Manchester coding. It also covers analog-to-digital conversion using PCM and DM, as well as digital-to-analog modulation techniques like ASK, FSK, and PSK that can be used to transmit digital data over analog transmission systems. Finally, it discusses how analog data is modulated using AM, FM, or PM onto a carrier frequency for analog transmission.
Data encoding refers to techniques for representing data or information as electrical, electromagnetic or optical signals that can be transmitted through a communication link between devices. The document discusses different types of data (analog and digital) and signals (analog and digital) and how they relate. It also covers various encoding schemes for digital data transmission including NRZ, Manchester, and others, discussing their advantages and disadvantages. Modulation techniques for representing digital data on an analog signal like ASK, FSK and PSK are also introduced.
The document discusses different methods of encoding and modulating digital and analog signals for transmission. It covers digital-to-digital encoding techniques like unipolar, polar, Manchester and differential Manchester encoding. It also discusses analog-to-digital conversion techniques like PAM and PCM. Finally, it discusses analog-to-analog modulation techniques like AM, FM and PM and how they modulate parameters of a carrier signal to transmit an analog signal.
This document discusses various techniques for encoding digital signals for transmission, including:
1) Non-return-to-zero (NRZ) encoding schemes which use different voltage levels to represent 1s and 0s without returning to a baseline between bits.
2) Manchester and differential Manchester encoding which add transitions in the middle or start of each bit to provide clocking functionality.
3) Phase-shift keying (PSK) and quadrature PSK (QPSK) which represent data by shifting the phase of the carrier signal.
4) Amplitude-shift keying (ASK), frequency-shift keying (FSK), and quadrature amplitude modulation (QAM) which are used to transmit
Digital signals can be encoded in various ways:
1) NRZ-L uses two voltage levels to represent 0s and 1s, maintaining a constant level during each bit.
2) NRZI represents 1s as transitions and 0s as no transitions at the start of each bit.
3) Bipolar-AMI represents 0s as no signal and alternating positive and negative pulses for 1s, eliminating long runs of the same signal.
This document discusses various techniques for encoding digital data onto analog signals for transmission. It begins with an overview of encoding and modulation. Digital data can be encoded as either a digital or analog signal. When encoded as an analog signal, various modulation techniques can be used including amplitude shift keying, frequency shift keying, and phase shift keying. For digital to digital encoding, techniques like non-return to zero and biphase encoding are discussed. The techniques are evaluated based on factors like bandwidth usage, synchronization capability, and noise immunity. Overall, the document provides an overview of common encoding and modulation techniques used in data communications.
This document discusses various digital signal encoding techniques. It covers:
1) Digital data encoding with digital signals, including return to zero (RZ), non-return to zero level (NRZ-L), non-return to zero inverted (NRZI), bipolar AMI, pseudoternary, Manchester, and differential Manchester encoding.
2) Digital data encoding with analog signals, including amplitude shift keying (ASK), frequency shift keying (FSK), phase shift keying (PSK), differential PSK (DPSK), and quadrature PSK (QPSK).
3) It provides examples and comparisons of the encoding techniques, discussing their advantages, disadvantages, and applications. Homework exercises are assigned
1. The document discusses various techniques for encoding digital and analog data for transmission as digital or analog signals. It describes common encoding schemes like NRZ-L, Manchester, and techniques for modulating analog signals like ASK, FSK, and PSK.
2. Key digital encoding techniques covered are NRZ-L, NRZI, bipolar AMI, Manchester, and differential Manchester. Modulation of analog signals to digital signals using PCM and delta modulation are also discussed.
3. Performance tradeoffs of different encoding schemes like bandwidth requirements, error detection capabilities, and signal-to-noise ratio impacts are compared.
Signal encoding techniques can be used to transmit digital data as either digital signals or analog signals. For digital data as a digital signal, common encoding schemes include NRZ, multilevel binary, and biphase, which encode bits as voltage levels or transitions. Analog data can be converted to a digital signal using techniques like PCM and DM. To transmit digital data as an analog signal, modulation schemes such as ASK, FSK, PSK are used to map bits to properties of a carrier wave. Analog data can also be transmitted directly as an analog signal using amplitude, frequency, or phase modulation.
Encoding is the process of converting data into a digital format for transmission. There are different encoding techniques for analog and digital data. Common digital to digital encoding techniques include NRZ, NRZI, Manchester, and 4B/5B encoding. NRZ assigns a voltage level to represent each bit but can cause issues with long strings of the same bit. NRZI and Manchester encoding add transitions to distinguish bits and allow synchronization. 4B/5B encoding groups bits into blocks and maps them to code words, preventing long runs of the same bit. These encoding techniques allow reliable transmission of digital data over networks.
This document summarizes different techniques for encoding digital data into an analog signal for transmission, including: non-return to zero (NRZ) encoding, Manchester encoding, biphase encoding, scrambling, and modulation techniques like amplitude shift keying (ASK), frequency shift keying (FSK), and phase shift keying (PSK). It discusses the pros and cons of different encoding schemes in terms of synchronization, error detection, bandwidth usage, and noise immunity. The document is from a textbook on data and computer communications.
will provide you a basic introduction about digital modulation techniques, provide a basic introduction of ASK(Amplitude shift keying) PSK(phase shift keying) FSK(frequency shift keying) and will also provide a introduction about types of PSK
1) Information must be encoded into signals before it can be transmitted across communication media. There are several types of encoding including digital-to-digital, analog-to-digital, digital-to-analog, and analog-to-analog.
2) Common digital encoding techniques include unipolar, polar, bipolar, NRZ, RZ, and Manchester encoding. These techniques encode digital data into electrical signals to prepare it for transmission.
3) Analog-to-digital encoding takes an analog signal, samples it, and generates a series of pulses representing the signal amplitude. This includes techniques like PAM, PCM, and quantization.
1. The document discusses various techniques for encoding digital and analog data into digital and analog signals for transmission, including NRZ, Manchester, and scrambling techniques.
2. Digital modulation techniques like ASK, FSK, and PSK are described for converting digital data into analog signals. ASK represents values by amplitude, FSK uses frequency, and PSK shifts the carrier phase.
3. Encoding digital data into a digital signal is simpler than analog, but converting analog data like voice to digital allows use of modern transmission. Encoding impacts bandwidth, error rates, synchronization and more.
This includes Digital signal data transmission, Base band and band pass transmission. Also detailed with PAM, PPM, PWM, PCM, DPCM, DM, ADM, ASK, PSK, FSK.
Phase-shift keying (PSK) is a digital modulation scheme that conveys data by changing (modulating) the phase of a reference signal (the carrier wave). The modulation is impressed by varying the sine and cosine inputs at a precise time. It is widely used for wireless LANs, RFID and Bluetooth communication
Frequency-shift keying (FSK) is a frequency modulation scheme in which digital information is transmitted through discrete frequency changes of a carrier signal.[1] The technology is used for communication systems such as amateur radio, caller ID and emergency broadcasts
This document discusses digital data transmission and its components. It begins by comparing analog and digital signals, with digital signals taking on discrete values. The main components of a digital communication system are described as sampling, quantization, encoding, and decoding. Different coding techniques like ASK, PSK, and FSK are explained. The document also covers topics like baseband data transmission, receiver structure, probability of error analysis, and performance metrics for digital communication systems.
Digital
to
Digital
Encoding Lack of Synchronization
Unipolar encoding uses only one
voltage level.
In a unipolar scheme, all the
signal levels are on one side of
the time axis, either above
or below.
Encoding involves converting data into another format for transmission, while decoding is the reverse process. There are two main types of data: analog and digital. Analog data uses continuous physical quantities like voltages, while digital data represents information as digits or numbers. There are four possibilities for encoding and decoding: analog data to analog signal, digital data to analog signal, digital data to digital signal, and analog data to digital signal. Digital signals are represented as a series of 0s and 1s and allow for error correction, while analog signals transmit exact waves that cannot be reconstructed if corrupted.
Digital Communication System
Communication Channels
AWGN: Universal channel model
Band Limited Channel: Channel BW <Signal BW, ISI
Fading Channel: multipath waves
Basic Modulation Methods
Criteria for choosing Modulation Schemes
Power Efficiency: Required Eb/N for certain error probability over AWGN channel
Bandwidth Efficiency: no. of bits per second that can be transmitted on system bandwidth.
System Complexity: Amount of circuit involved and complexity
System Performance Parameters
Average SNR
Outage Probability: instantaneous prob. Exceed certain limit
Average BEP
Amount of Fading/severity of fading
Average Outage duration: O/P SNR fall below certain SNR
This document provides a summary of a 2-hour lecture on communication basics including modulation and encoding techniques for digital-to-digital, digital-to-analog, and analog-to-digital signals. It discusses common modulation techniques like ASK, FSK, PSK and line codes like Manchester encoding, AMI, and 4B/5B. It also covers topics like digitization of analog signals, constellation diagrams, and multilevel FSK to improve bit rates. The document includes examples, diagrams, and a short quiz to test understanding of key concepts covered in the lecture.
This document discusses digital modulation techniques used to encode information onto carrier signals for transmission. It explains that modulation involves adding information to a carrier signal by varying the amplitude, frequency, or phase. Specifically, it describes amplitude-shift keying (ASK), which encodes bits as two amplitude levels while keeping frequency constant, as well as frequency-shift keying (FSK) and phase-shift keying (PSK), which encode bits by shifting the frequency or phase of the carrier signal. The document also mentions channel capacity and reasons for choosing different encoding techniques.
This document discusses various analog and digital modulation techniques. It begins by explaining the differences between bit rate and baud rate. It then covers modulation schemes like ASK, FSK, PSK and QAM. It provides examples of how these techniques work and their bandwidth requirements. The document also discusses topics like phone modems, analog-to-analog modulation techniques like AM and FM, and how these radio bands are allocated.
Amplitude shift keying (ASK) is a form of amplitude modulation that represents digital data as variations in the amplitude of a carrier wave. It uses a finite number of discrete amplitude levels, each assigned to a unique binary pattern. ASK modulation is implemented by band-limiting a carrier signal to impose two or more amplitude levels. There are two main types: binary ASK uses two levels for on-off keying, while multilevel ASK uses more than two levels and bits. ASK has applications in optical fiber data transmission and transmitting Morse code via LED transmitters.
This document discusses various digital encoding and modulation techniques used for transmitting digital and analog data over transmission channels. It describes:
- Digital signaling, where digital data is encoded into a digital signal using techniques like NRZ-L, NRZI, etc. to minimize bandwidth and errors.
- Analog signaling, where analog or digital data modulates an analog carrier signal using techniques like ASK, FSK, PSK to transmit over analog lines.
- Specific digital modulation techniques like BPSK, QPSK, MFSK that encode digital data onto signal properties like phase, frequency or amplitude to maximize bandwidth efficiency and minimize errors.
- How analog modulation techniques like AM, FM, PM encode analog data onto an
Signals and Systems
What is a signal?
Signal Basics
Analog / Digital Signals
Real vs Complex
Periodic vs. Aperiodic
Bounded vs. Unbounded
Causal vs. Noncausal
Even vs. Odd
Power vs. Energy
Analog to Digital Encoding in Data Communication DC9koolkampus
The document contains notes on various topics related to data communication including analog to digital encoding, PAM, PCM, Nyquist theorem, digital to analog encoding, ASK, FSK, PSK, QAM modulation techniques. There are figures explaining concepts such as quantized PAM signal, quantizing using sign and magnitude, from analog to PCM, PSK constellation, 4-PSK, 8-PSK characteristics, 4-QAM and 8-QAM constellations, 16-QAM constellation, and the relationship between bit rate and baud rate.
This document summarizes several source coding techniques: Arithmetic coding encodes a message into a single floating point number between 0 and 1. Lempel-Ziv coding builds a dictionary to encode repeated patterns. Run length encoding replaces repeated characters with a code indicating the character and number of repeats. Rate distortion theory calculates the minimum bit rate needed for a given source and distortion. The entropy rate measures how entropy grows with the length of a stochastic process. JPEG uses lossy compression including discrete cosine transform and quantization to discard high frequency data imperceptible to humans.
The document discusses various topics related to digital transmission including:
1) Line coding techniques such as unipolar, polar, NRZ-L, NRZ-I, Manchester, and differential Manchester encoding.
2) Block coding methods like 4B5B encoding which maps 4-bit groups to 5-bit groups using a lookup table.
3) Digital modulation schemes including PAM, PCM, and how PCM converts analog signals to digital codes using sampling and quantization.
4) Factors that affect sampling rate such as the Nyquist theorem and bandwidth of the signal.
5) Serial and parallel data transmission and the differences between asynchronous and synchronous transmission modes.
Signal encoding techniques can be used to transmit digital data as either digital signals or analog signals. For digital data as a digital signal, common encoding schemes include NRZ, multilevel binary, and biphase, which encode bits as voltage levels or transitions. Analog data can be converted to a digital signal using techniques like PCM and DM. To transmit digital data as an analog signal, modulation schemes such as ASK, FSK, PSK are used to map bits to properties of a carrier wave. Analog data can also be transmitted directly as an analog signal using amplitude, frequency, or phase modulation.
Encoding is the process of converting data into a digital format for transmission. There are different encoding techniques for analog and digital data. Common digital to digital encoding techniques include NRZ, NRZI, Manchester, and 4B/5B encoding. NRZ assigns a voltage level to represent each bit but can cause issues with long strings of the same bit. NRZI and Manchester encoding add transitions to distinguish bits and allow synchronization. 4B/5B encoding groups bits into blocks and maps them to code words, preventing long runs of the same bit. These encoding techniques allow reliable transmission of digital data over networks.
This document summarizes different techniques for encoding digital data into an analog signal for transmission, including: non-return to zero (NRZ) encoding, Manchester encoding, biphase encoding, scrambling, and modulation techniques like amplitude shift keying (ASK), frequency shift keying (FSK), and phase shift keying (PSK). It discusses the pros and cons of different encoding schemes in terms of synchronization, error detection, bandwidth usage, and noise immunity. The document is from a textbook on data and computer communications.
will provide you a basic introduction about digital modulation techniques, provide a basic introduction of ASK(Amplitude shift keying) PSK(phase shift keying) FSK(frequency shift keying) and will also provide a introduction about types of PSK
1) Information must be encoded into signals before it can be transmitted across communication media. There are several types of encoding including digital-to-digital, analog-to-digital, digital-to-analog, and analog-to-analog.
2) Common digital encoding techniques include unipolar, polar, bipolar, NRZ, RZ, and Manchester encoding. These techniques encode digital data into electrical signals to prepare it for transmission.
3) Analog-to-digital encoding takes an analog signal, samples it, and generates a series of pulses representing the signal amplitude. This includes techniques like PAM, PCM, and quantization.
1. The document discusses various techniques for encoding digital and analog data into digital and analog signals for transmission, including NRZ, Manchester, and scrambling techniques.
2. Digital modulation techniques like ASK, FSK, and PSK are described for converting digital data into analog signals. ASK represents values by amplitude, FSK uses frequency, and PSK shifts the carrier phase.
3. Encoding digital data into a digital signal is simpler than analog, but converting analog data like voice to digital allows use of modern transmission. Encoding impacts bandwidth, error rates, synchronization and more.
This includes Digital signal data transmission, Base band and band pass transmission. Also detailed with PAM, PPM, PWM, PCM, DPCM, DM, ADM, ASK, PSK, FSK.
Phase-shift keying (PSK) is a digital modulation scheme that conveys data by changing (modulating) the phase of a reference signal (the carrier wave). The modulation is impressed by varying the sine and cosine inputs at a precise time. It is widely used for wireless LANs, RFID and Bluetooth communication
Frequency-shift keying (FSK) is a frequency modulation scheme in which digital information is transmitted through discrete frequency changes of a carrier signal.[1] The technology is used for communication systems such as amateur radio, caller ID and emergency broadcasts
This document discusses digital data transmission and its components. It begins by comparing analog and digital signals, with digital signals taking on discrete values. The main components of a digital communication system are described as sampling, quantization, encoding, and decoding. Different coding techniques like ASK, PSK, and FSK are explained. The document also covers topics like baseband data transmission, receiver structure, probability of error analysis, and performance metrics for digital communication systems.
Digital
to
Digital
Encoding Lack of Synchronization
Unipolar encoding uses only one
voltage level.
In a unipolar scheme, all the
signal levels are on one side of
the time axis, either above
or below.
Encoding involves converting data into another format for transmission, while decoding is the reverse process. There are two main types of data: analog and digital. Analog data uses continuous physical quantities like voltages, while digital data represents information as digits or numbers. There are four possibilities for encoding and decoding: analog data to analog signal, digital data to analog signal, digital data to digital signal, and analog data to digital signal. Digital signals are represented as a series of 0s and 1s and allow for error correction, while analog signals transmit exact waves that cannot be reconstructed if corrupted.
Digital Communication System
Communication Channels
AWGN: Universal channel model
Band Limited Channel: Channel BW <Signal BW, ISI
Fading Channel: multipath waves
Basic Modulation Methods
Criteria for choosing Modulation Schemes
Power Efficiency: Required Eb/N for certain error probability over AWGN channel
Bandwidth Efficiency: no. of bits per second that can be transmitted on system bandwidth.
System Complexity: Amount of circuit involved and complexity
System Performance Parameters
Average SNR
Outage Probability: instantaneous prob. Exceed certain limit
Average BEP
Amount of Fading/severity of fading
Average Outage duration: O/P SNR fall below certain SNR
This document provides a summary of a 2-hour lecture on communication basics including modulation and encoding techniques for digital-to-digital, digital-to-analog, and analog-to-digital signals. It discusses common modulation techniques like ASK, FSK, PSK and line codes like Manchester encoding, AMI, and 4B/5B. It also covers topics like digitization of analog signals, constellation diagrams, and multilevel FSK to improve bit rates. The document includes examples, diagrams, and a short quiz to test understanding of key concepts covered in the lecture.
This document discusses digital modulation techniques used to encode information onto carrier signals for transmission. It explains that modulation involves adding information to a carrier signal by varying the amplitude, frequency, or phase. Specifically, it describes amplitude-shift keying (ASK), which encodes bits as two amplitude levels while keeping frequency constant, as well as frequency-shift keying (FSK) and phase-shift keying (PSK), which encode bits by shifting the frequency or phase of the carrier signal. The document also mentions channel capacity and reasons for choosing different encoding techniques.
This document discusses various analog and digital modulation techniques. It begins by explaining the differences between bit rate and baud rate. It then covers modulation schemes like ASK, FSK, PSK and QAM. It provides examples of how these techniques work and their bandwidth requirements. The document also discusses topics like phone modems, analog-to-analog modulation techniques like AM and FM, and how these radio bands are allocated.
Amplitude shift keying (ASK) is a form of amplitude modulation that represents digital data as variations in the amplitude of a carrier wave. It uses a finite number of discrete amplitude levels, each assigned to a unique binary pattern. ASK modulation is implemented by band-limiting a carrier signal to impose two or more amplitude levels. There are two main types: binary ASK uses two levels for on-off keying, while multilevel ASK uses more than two levels and bits. ASK has applications in optical fiber data transmission and transmitting Morse code via LED transmitters.
This document discusses various digital encoding and modulation techniques used for transmitting digital and analog data over transmission channels. It describes:
- Digital signaling, where digital data is encoded into a digital signal using techniques like NRZ-L, NRZI, etc. to minimize bandwidth and errors.
- Analog signaling, where analog or digital data modulates an analog carrier signal using techniques like ASK, FSK, PSK to transmit over analog lines.
- Specific digital modulation techniques like BPSK, QPSK, MFSK that encode digital data onto signal properties like phase, frequency or amplitude to maximize bandwidth efficiency and minimize errors.
- How analog modulation techniques like AM, FM, PM encode analog data onto an
Signals and Systems
What is a signal?
Signal Basics
Analog / Digital Signals
Real vs Complex
Periodic vs. Aperiodic
Bounded vs. Unbounded
Causal vs. Noncausal
Even vs. Odd
Power vs. Energy
Analog to Digital Encoding in Data Communication DC9koolkampus
The document contains notes on various topics related to data communication including analog to digital encoding, PAM, PCM, Nyquist theorem, digital to analog encoding, ASK, FSK, PSK, QAM modulation techniques. There are figures explaining concepts such as quantized PAM signal, quantizing using sign and magnitude, from analog to PCM, PSK constellation, 4-PSK, 8-PSK characteristics, 4-QAM and 8-QAM constellations, 16-QAM constellation, and the relationship between bit rate and baud rate.
This document summarizes several source coding techniques: Arithmetic coding encodes a message into a single floating point number between 0 and 1. Lempel-Ziv coding builds a dictionary to encode repeated patterns. Run length encoding replaces repeated characters with a code indicating the character and number of repeats. Rate distortion theory calculates the minimum bit rate needed for a given source and distortion. The entropy rate measures how entropy grows with the length of a stochastic process. JPEG uses lossy compression including discrete cosine transform and quantization to discard high frequency data imperceptible to humans.
The document discusses various topics related to digital transmission including:
1) Line coding techniques such as unipolar, polar, NRZ-L, NRZ-I, Manchester, and differential Manchester encoding.
2) Block coding methods like 4B5B encoding which maps 4-bit groups to 5-bit groups using a lookup table.
3) Digital modulation schemes including PAM, PCM, and how PCM converts analog signals to digital codes using sampling and quantization.
4) Factors that affect sampling rate such as the Nyquist theorem and bandwidth of the signal.
5) Serial and parallel data transmission and the differences between asynchronous and synchronous transmission modes.
Modulation is the process of encoding information from a message source for transmission. It involves translating a baseband message signal to a bandpass signal at higher frequencies. Modulation can be done by varying the amplitude, phase, or frequency of a carrier signal based on the message signal. Digital modulation uses a discrete time sequence of symbols to represent bits of information, allowing for robustness and enabling techniques like error correction coding. The choice of digital modulation influences factors like bit error rate, power efficiency, bandwidth occupancy, and performance in fading channels.
This chapter discusses various methods for encoding analog and digital signals for transmission, including different conversion schemes such as analog to digital and digital to digital. It examines encoding techniques like unipolar, polar, NRZ-L, NRZ-I, RZ, Manchester, bipolar AMI, B8ZS, and HDB3 encoding. The chapter also includes examples and solutions related to signal encoding.
The document discusses digital modulation techniques. It begins by defining digital communication as the transmission of information using digital messages or bit streams. There are notable advantages to transmitting data digitally such as the ability to detect and correct errors caused by noise and interference systematically. Digital communication also enables networking of heterogeneous systems like the Internet. The document then discusses source encoding, channel encoding, digital modulation, transmission over a channel, digital demodulation, channel decoding, and source decoding as the key components and processes in a digital communication system. It also covers various analog and digital pulse modulation techniques like PAM, PWM, PPM, PCM, delta modulation, and delta-sigma modulation.
1) Frequency modulation (FM) varies the instantaneous frequency of the carrier signal in proportion to an input modulating signal. This produces sidebands around the carrier frequency.
2) FM is considered superior to amplitude modulation (AM) due to better fidelity, noise immunity, and transmission efficiency. However, FM requires more bandwidth than AM.
3) The modulation index determines the number of significant sidebands and bandwidth occupied. It is defined as the peak frequency deviation divided by the modulating signal frequency.
This document provides an overview of digital communications and source encoding. It discusses why digital communication is preferable to analog, describes the basic block diagram of a digital communication system, and defines key terms like the information source and channel encoder. The document then covers some of the foundational work in digital communications, including Nyquist's sampling theorem and Shannon's channel capacity theorem. It discusses ideal sampling and the Nyquist rate, as well as practical sampling techniques like sample-and-hold. The document also covers quantization, quantization noise, and how the step size and number of quantization levels affect the signal-to-quantization noise ratio. In closing, it briefly mentions pulse code modulation and nonuniform quantization.
The document discusses digital communication systems and outlines topics that will be covered, including digital data communication, multiplexing techniques, digital modulation and demodulation, and performance comparisons of modulation schemes. The objectives are to provide an overview of communication systems and concepts, discuss digital transmission methods and modulation types, and enable students to design simple communication systems and discuss industry trends.
This document summarizes various techniques for encoding digital and analog signals. It discusses encoding digital data into digital signals using techniques like NRZ-L, Manchester encoding, and differential Manchester encoding. It also covers converting analog data to digital signals using pulse code modulation and delta modulation. Additionally, it describes modulating digital and analog data onto analog carriers using techniques like amplitude shift keying, frequency shift keying, and phase shift keying.
This document summarizes various techniques for encoding digital and analog signals for transmission, including:
1) Digital signals can be encoded using NRZ-L, NRZ-I, Manchester, and differential Manchester encoding. Encoding schemes involve representing bits as voltage levels or transitions.
2) Analog signals can be digitized using PCM or delta modulation before transmission. PCM involves sampling and quantizing an analog signal into digital pulses.
3) Analog signals can also be modulated by varying the amplitude, frequency, or phase of a carrier signal before transmission. This allows for techniques like frequency division multiplexing.
The document discusses various methods of digital-to-analog conversion and analog transmission. It describes how digital data is modulated by varying the amplitude, frequency, or phase of an analog carrier signal. The main modulation techniques covered are amplitude shift keying (ASK), frequency shift keying (FSK), phase shift keying (PSK), and more advanced methods like quadrature amplitude modulation (QAM).
This document discusses bandpass modulation and demodulation techniques. It begins by defining bandpass modulation as varying characteristics of a sinusoidal carrier signal according to a message signal. This shifts the spectrum of the baseband signal to a higher frequency. A demodulator is then needed to recover the original baseband signal. The document goes on to explain why modulation is needed, such as to allow for practical antenna sizes in wireless communication. It also describes digital modulation techniques including amplitude shift keying (ASK), frequency shift keying (FSK), and phase shift keying (PSK). Mathematical expressions and diagrams are provided to illustrate these techniques.
This document discusses various components and options for data communication, including analog vs digital data and signals, transmission methods, and encoding schemes. It covers analog encoding of analog and digital data using modulation techniques. It also describes digital encoding of digital data using methods like NRZ and Manchester encoding. Finally, it discusses synchronous and asynchronous transmission and error control processes like parity bits and CRC for error detection.
Digital modulation techniques allow for more efficient transmission of digital data by varying certain properties of the carrier signal, such as amplitude, frequency, or phase, based on the digital bit stream. There are tradeoffs between bandwidth efficiency, power efficiency, and implementation complexity for different modulation schemes. Common digital modulation techniques include amplitude-shift keying (ASK), frequency-shift keying (FSK), phase-shift keying (PSK), and quadrature amplitude modulation (QAM), with higher-order schemes transmitting more than one bit per symbol. Performance metrics like bit error rate (BER) are used to evaluate and compare modulation techniques.
The following documents defines the different encoding schemes/Techniques.
These encoding schemes have different way to solve a problem.
The techniques are used in network and wireless devices only. Although there are many different techniques that used in other devices and network as well but i used/ mention these techniques for only network and wireless devices. These techniques are also used in mobile network. There are also many lectures for this but i uploaded only lecture 5 because i found it important to everyone.
Comparative Study and Performance Analysis of different Modulation Techniques...Souvik Das
A comparative study and performance analysis of different modulation
techniques which shows graphically and comparative results Channel Noise
with Bit Error Rate of ASK, FSK, PSK and QPSK.
This document provides an overview of digital communication techniques including:
- Types of digital modulation like PSK, QAM, and their advantages over analog communication
- Key concepts in digital modulation like bandwidth efficiency, M-ary encoding, and eye patterns
- Techniques used to reduce interference like duobinary encoding, pulse shaping with cosine filters, and equalization methods
The document discusses various techniques for converting digital and analog signals for transmission through different mediums. It explains that digital data needs to be converted to either digital or analog signals depending on whether the transmission medium is digital or analog. Key techniques discussed include:
- Digital to digital encoding like Manchester encoding for digital mediums
- Analog to digital conversion like PCM for converting analog signals to digital
- Digital to analog modulation like FSK for converting digital signals to analog for analog mediums
- Analog to analog conversion like AM/FM for analog signal transmission.
Digital modulation techniques such as PCM, DM, and DPCM can be used to transmit analog signals over digital communication systems. PCM works by sampling, quantizing, and coding an analog signal into digital pulses. In a PCM system, the bit rate and required bandwidth increase as the number of bits per sample and sampling rate increase. DM and DPCM work by encoding the difference between successive sample amplitudes into single bits or multibit codes, with DPCM providing higher accuracy through multibit quantization of differences. Coherent and non-coherent detection techniques are used to demodulate signals at the receiver.
1) Pulse amplitude modulation (PAM) is used to digitize analog voice signals by sampling the amplitude of the voice waves at discrete time intervals.
2) For faithful reproduction of the original analog signal, the sampling rate must be at least twice the highest frequency component of the voice signal, as per the Nyquist criterion.
3) If the sampling rate is lower than the Nyquist rate, aliasing or foldover distortion will occur, distorting the reconstructed signal.
This document provides an outline and overview of key topics in digital transmission covered in Chapter 4, including:
- Digital-to-digital conversion techniques like line coding, block coding, and scrambling.
- Analog-to-digital conversion using pulse code modulation (PCM) and delta modulation to convert analog signals to digital data.
- Transmission modes for sending digital data, including parallel transmission of multiple bits at once, and serial transmission of single bits in asynchronous, synchronous, or isochronous formats.
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This document discusses various techniques for encoding digital and analog signals and data. It begins by explaining how digital data can be encoded as either digital or analog signals. For digital signals, the simplest method is to assign different voltage levels to represent binary 1 and 0. For analog signals, a modem is used to convert digital data. It then discusses several specific encoding techniques in detail, including non-return to zero (NRZ) encoding, amplitude shift keying (ASK), frequency shift keying (FSK), and phase shift keying (PSK). It provides examples of how different encoding schemes represent binary data and compares their properties such as bandwidth and bit error rate performance.
The document discusses the structure and characteristics of GPS signals. It covers topics like signal requirements, encoding methods, modulation techniques, and digital signal processing. Key points:
- GPS signals are transmitted from satellites on two carrier frequencies (L1 and L2) which are modulated by pseudo-random codes and navigation data.
- The signals use phase modulation to encode information in the carrier phase. Receivers use correlation and filtering techniques to recover the codes, data, and carrier signals.
- After the introduction of anti-spoofing in 1994, various methods like squaring, cross-correlation and Z-tracking were developed to still allow civilian use of the encrypted P-code signal.
The document discusses various types of pulse modulation techniques including pulse amplitude modulation (PAM), pulse width modulation (PWM), pulse position modulation (PPM), and pulse code modulation (PCM). It provides details on the basic principles, components, and advantages of each technique. PCM is described as the digital form of pulse modulation where the analog signal is converted to digital pulses by sampling, quantizing, and encoding the signal. The minimum sampling rate required by the Nyquist theorem and examples of calculating bit rates for PCM are also covered.
This document discusses various digital-to-analog conversion techniques used in analog transmission of digital data. It describes amplitude shift keying (ASK), frequency shift keying (FSK), phase shift keying (PSK) and quadrature amplitude modulation (QAM). ASK encodes data by changing the amplitude of a carrier signal. FSK uses frequency changes to encode data while PSK varies the phase. QAM combines ASK and PSK, encoding multiple bits onto distinct signal points defined by amplitude and phase. The bandwidth requirements of these techniques are also examined along with examples of calculating bit rates from given parameters.
This presentation include the basic concept of communication, modulation techniques in analog and digital. ADC (Analog to Digital Conversion) and Demodulation schemes
The document discusses pulse code modulation (PCM) for encoding analog waveforms into digital signals. It covers:
1. PCM involves sampling, quantizing, and encoding analog signals. Sampling makes the signal discrete in time. Quantizing makes it discrete in amplitude by rounding to discrete levels. Encoding maps quantized values to binary code words.
2. Quantization introduces distortion but sampling noise can be eliminated if the Nyquist criterion is met. Uniform quantizers are optimal for uniformly distributed inputs.
3. A practical PCM system was designed for telephone systems using 8-bit samples at 8 kHz to encode voice signals between 300-3400 Hz, producing a 64 kbps digital signal. The bandwidth
Similar to Lecture3 signal encoding_in_wireless (20)
2. Encoding Techniques in Wireless
2
Digital-to-analog
Digital data and digital signals must be converted to
analog signals for wireless transmission
Analog-to-analog
Baseband signals must be modulated onto a higher-frequency
carrier for transmission.
Analog-to-digital
Digitising analog signals for digital transmission so as to
improve quality and take advantage of TDM schemes.
Digital-to-digital
3. Signal Encoding Criteria
3
What determines how successful a receiver will be in
interpreting an incoming signal?
Signal-to-noise ratio
Data rate
Bandwidth
An increase in data rate increases bit error rate
An increase in SNR decreases bit error rate
An increase in bandwidth allows an increase in data
rate
4. Comparison of Encoding Schemes
4
Signal spectrum
With lack of high-frequency components, less bandwidth
required (discuss)
No DC component: AC coupling via transformer possible
Clocking
Ease of determining beginning and end of each bit
position
Signal interference and noise immunity
Performance in the presence of noise
Cost and complexity
The higher the signal rate to achieve a given data rate, the
greater the cost
5. Basic Encoding Techniques I
5
Digital data to analog signal
Amplitude-shift keying (ASK)
Amplitude difference of carrier
frequency
Frequency-shift keying (FSK)
Frequency difference near carrier
frequency
Phase-shift keying (PSK)
Phase of carrier signal shifted
Fig. 6.2 Modulation of Analog Signals for Digital
Data
6. Amplitude-Shift Keying (ASK)
6
One binary digit represented by presence of
carrier, at constant amplitude (1)
Other binary digit represented by absence of
carrier (0)
( )
A ( f t) c cos 2p
0
ïî
ïí ì
s t =
binary 1
binary 0
where the carrier signal is Acos(2πfct)
Used to transmit digital data over optical fiber
Susceptible to sudden gain changes
Inefficient modulation technique
7. Binary Frequency-Shift Keying (BFSK)
7
Two binary digits represented by two different
frequencies near the carrier frequency
( )
ïî
ïí ì
s t =
A ( f t) 1 cos 2p
A ( f t) 2 cos 2p
binary 1
binary 0
where f1 and f2 are offset from carrier frequency fc by equal but
opposite amounts
Less susceptible to error than ASK
Used for high-frequency (3 to 30 MHz) radio
transmission
8. Using Multiple Frequencies (MFSK)
8
More than two frequencies are used in FSK
More bandwidth efficient
Used for frequency hopping in spread spectrum
si (t ) =Acos2pfit
1£i£M
f = fc + (2 i - 1 -
M )
fd
i L = =
M number of different signal elements 2
=
L number of bits per signal element
9. Using Multiple Frequencies (MFSK)
9
Example (6.1-P143):
With fc=250 kHz, fd=25 kHz and M=8 (L=3 bits), we
have the following frequency assignments for each of
the 8 possible 3-bits data combinations:
f fc i M fd i = +(2 -1- )
f1= 75 kHz 000 f2=125 kHz 001 f3=175 kHz 010
f4=225 kHz 011 f5=275 kHz 100 f6=325kHz 101
f7=375 kHz 110 f8=425 kHz 111
10. Phase-Shift Keying (PSK)
10
Two-level PSK (BPSK):Uses two phases to represent binary digits
( )
A ( f t) c cos 2p
A ( f t) c - cos 2p
ïî
ïí ì
s t =
binary 1
binary 0
Differential PSK (DPSK): Phase shift with reference to previous bit
Binary 0 – signal burst of same phase as previous signal burst
Binary 1 – signal burst of opposite phase to previous signal burst
11. Phase-Shift Keying (PSK)
11
Four-level PSK (QPSK)
Each element represents two bits
Phase shift in multiples of p/4
( )
Acos 2pf t p c 11
ì
Acos 2pf t 3p c
ï ïî
ïïí
s t =
÷øö çè
æ +
ö çè
Acos 2pf t 3p c
ö çèæ -
Acos 2pf t p c
ö çè
OQPSK: Introducing a time-delay
Phase change less than p/2
Therefore less interference
4
÷ø
æ +
4
÷ø
4
÷ø
æ -
4
01
00
10
13. Quadrature Amplitude Modulation
13
QAM is a combination of ASK and PSK
Two different signals sent simultaneously on the same
carrier frequency
s(t) d (t) f t d (t) f t c c cos 2p sin 2p 1 2 = +
15. Reasons for Analog Modulation
15
Modulation of digital signals
When only analog transmission facilities are
available, digital to analog conversion required
Modulation of analog signals
A higher frequency may be needed for effective
transmission
Modulation permits frequency division
multiplexing
17. Basic Encoding Techniques II
17
Analog data to digital signal
Pulse code modulation (PCM)
Delta modulation (DM)
Once analog data have been converted
to digital signals, the digital data
can be transmitted using NRZ-L
can be encoded as a digital signal using a
code other than NRZ-L
can be converted to an analog signal
18. Pulse Code Modulation
18
Based on the sampling
theorem
Each analog sample is
assigned a binary code
Analog samples are referred to
as pulse amplitude modulation
(PAM) samples
The digital signal consists of
block of n bits, where each n-bit
number is the amplitude
of a PCM pulse
19. Pulse Code Modulation
19
By quantizing the PAM pulse, original signal is
only approximated
Leads to quantizing noise
Signal-to-noise ratio for quantizing noise
Each additional bit typically increases SNR by 6 dB, or a
factor of 4.
SNR ratio can be improved by nonlinear encoding
such as non-uniform quantization.
20. Delta Modulation (DM)
20
In DM, analog input is approximated by staircase
function
Moves up or down by one quantization level (d) at each
sampling interval
The bit stream approximates derivative of analog
signal (rather than amplitude)
1 is generated if function goes up
0 otherwise
Two important parameters
Size of step assigned to each binary digit (d)
Sampling rate
Accuracy improved by increasing sampling rate
However, this increases the data rate
21. DM
21
Advantage of DM over PCM is the simplicity of its implementation.
Used for audio signal encoding in Bluetooth.
PCM exhibits better SNR at the same data rate.
22. Recap
22
Signal encoding
Basic encoding techniques
Digital to analog
Analog to analog
Analog to digital
Problems 6.1, 6.10, 6.16
Editor's Notes
الرقمية إلى تناظرية
يجب أن يتم تحويل البيانات الرقمية والإشارات الرقمية إلى إشارات تناظرية لاسلكية لنقل
التناظرية إلى التناظرية
يجب أن التضمين إشارات القاعدي على الناقل التردد العالي للإرسال.
التناظرية إلى الرقمية
Digitising الإشارات التناظرية لنقل الرقمي وذلك لتحسين نوعية والاستفادة من مخططات TDM.
الرقمية إلى رقمية
Encoding is the process of transforming information from one format into another. The opposite operation is called decoding. This is often used in many digital devices
الترميز هو عملية تحويل المعلومات من شكل إلى آخر. وتسمى العملية المعاكسة فك التشفير. وكثيرا ما يستخدم هذا في كثير من الأجهزة الرقمية
ما الذي يحدد مدى نجاح مستقبل سيكون في تفسير إشارة واردة؟
إشارة إلى نسبة الضوضاء
معدل البيانات
عرض النطاق الترددي
زيادة في معدل البيانات إلى زيادة معدل بت خطأ
زيادة في SNR يقلل نسبة الخطأ
زيادة في عرض النطاق الترددي يسمح بزيادة في معدل البيانات
إشارة الطيف
مع عدم وجود مكونات عالية التردد، وعرض النطاق الترددي أقل المطلوبة (مناقشة)
أي مكون العاصمة: اقتران AC عبر محول الممكن
قطع مسافة السباق
سهولة تحديد بداية ونهاية كل موقف قليلا
تدخل إشارة والحصانة الضوضاء
الأداء في وجود ضوضاء
التكلفة والتعقيد
وارتفاع نسبة إشارة إلى تحقيق معدل بيانات معينة، كلما زادت التكلفة
The encoding schemes should realize these features
Signal spectrum :In addition, lack of a direct current (dc) component is also desirable. With a dc component to the signal, there must be direct physical attachment of transmission components. With no dc component, alternating current (ac) coupling via transformer is possible; this provides excellent electrical isolation, reducing interference.
Clocking: The receiver must determine the beginning and end of each bit position. This is no easy task. One rather expensive approach is to provide a separate clock channel to synchronize the transmitter and receiver. The alternative is to provide some synchronization mechanism that is based on the transmitted signal. This can be achieved with suitable encoding.
• Signal interference and noise immunity: Certain codes exhibit superior performance in the presence of noise. This is usually expressed in terms of a BER.
Cost and complexity: Although digital logic continues to drop in price, this factor should not be ignored. In particular, the higher the signaling rate to achieve a given data rate, the greater the cost. We will see that some codes require a signaling rate that is in fact greater than the actual data rate.
ينبغي أن أنظمة الترميز يدركون هذه الميزات
إشارة الطيف: وبالإضافة إلى ذلك، عدم وجود (العاصمة) المكون الحالي المباشر هو أيضا مرغوب فيه. مع عنصر العاصمة إلى الإشارة، يجب أن يكون هناك ارتباط مادي مباشر من مكونات الإرسال. مع أي مكون العاصمة، بالتناوب الحالي (AC) اقتران عبر محول هو ممكن؛ وهذا يوفر العزل الكهربائي ممتازة، والحد من التدخل.
قطع مسافة السباق: المتلقي يجب تحديد بداية ونهاية كل موقف بعض الشيء. هذه ليست مهمة سهلة. نهج واحد مكلفة نوعا ما هو توفير قناة منفصلة على مدار الساعة لمزامنة جهاز الإرسال والاستقبال. البديل هو توفير آلية التزامن الذي يقوم على الإشارة المرسلة. ويمكن تحقيق ذلك مع ترميز مناسب.
• تدخل إشارة والحصانة الضوضاء: بعض رموز تظهر الأداء المتفوق في وجود ضوضاء. عادة ما يتم التعبير عن هذا من حيث البر.
التكلفة والتعقيد: على الرغم من أن المنطق الرقمي يواصل الانخفاض في الأسعار، ويجب عدم تجاهل هذا العامل. على وجه الخصوص، وارتفاع معدل يشير إلى تحقيق معدل بيانات معينة، كلما زادت التكلفة. سوف نرى أن بعض رموز تتطلب معدل الإشارات التي هي في الواقع أكبر من معدل البيانات الفعلية
البيانات الرقمية إلى إشارات التناظرية
تضمين إزاحة السعة (ASK)
الفرق السعة من تردد الناقل
تضمين إزاحة التردد (FSK)
الفرق تردد قرب تردد الناقل
تضمين إزاحة الطور (PSK)
مرحلة إشارة الناقل تحول
modulation involves operation on one or more of the three characteristics of a carrier signal: amplitude, frequency, and phase. Accordingly, there
are three basic encoding or modulation techniques for transforming digital data into analog signals.
In amplitude shift keying, the amplitude of the carrier signal is varied to create signal elements. Both frequency and phase remain constant while the amplitude changes.
تعديل ينطوي على عملية واحدة أو أكثر من الخصائص الثلاث للإشارة الناقل: السعة، والتردد، والمرحلة. وفقا لذلك، هناك
هي ثلاثة ترميز أو تعديل التقنيات الأساسية لتحويل البيانات الرقمية إلى إشارات التناظرية.
في السعة التحول القفل، وتتنوع السعة للإشارة الناقل لخلق عناصر الإشارة. كل من التردد والمرحلة تظل ثابتة في حين أن التغييرات السعة.
ثنائي الرقم واحد يمثلها وجود الناقل، في اتساع مستمر (1)
ثنائي الرقم الآخر الذي يمثله غياب الناقل (0)
حيث إشارة الناقل ACOS (2πfct)
تستخدم لنقل البيانات الرقمية عبر الألياف الضوئية
عرضة للتغيرات مكاسب مفاجئة
تقنية التضمين غير فعالة
Amplitude-Shift Keying
In ASK, the two binary values are represented by two different amplitudes of the carrier frequency. Commonly, one of the amplitudes is zero; that is, one binary digit is represented by the presence, at constant amplitude, of the carrier, the other by the absence of the carrier (Figure 6.2a). binary 1
where the carrier signal is A COS(211fet). ASK is susceptible to sudden gain changes and is a rather inefficient modulation technique. On voice-grade lines, it is typically used only up to 1200 bps.
The ASK technique is used to transmit digital data over optical fiber. For LED (light-emitting diode) transmitters, Equation (6.1) is valid. That is, one signal element is represented by a light pulse while the other signal element is represented by the absence of light. Laser transmitters normally have a fixed &quot;bias&quot; current that causes the device to emit a low light level. This low level represents one signal element, while a higher-amplitude light wave represents another signal element.
تضمين إزاحة السعة
في ASK، يتم تمثيل القيمتين الثنائية من قبل اثنين من سعة مختلفة من تردد الناقل. عادة، واحدة من سعة صفر. وهذا هو، ويمثل رقم ثنائي واحد من خلال وجود، في اتساع مستمر، من جانب الناقل، والآخر بسبب عدم وجود الناقل (الشكل 6.2a). ثنائي 1
حيث إشارة الناقل هو COS (211fet). ASK هو عرضة للتغيرات مكاسب مفاجئة وغير تقنية التضمين غير فعالة إلى حد ما. على خطوط صوت الصف، وعادة ما تستخدم فقط يصل إلى 1200 نقطة أساس.
يتم استخدام تقنية ASK لنقل البيانات الرقمية عبر الألياف الضوئية. لLED (الصمام الثنائي الباعث للضوء) الإرسال، والمعادلة (6.1) غير صالحة. وهذا هو، ويمثل عنصر إشارة واحدة من نبض الضوء في حين يتمثل العنصر إشارة الآخرين من خلال غياب الضوء. مرسلات الليزر وعادة ما يكون &quot;التحيز&quot; التيار الثابت الذي يتسبب في الجهاز لتنبعث من مستوى ضوء منخفض. يمثل هذا المستوى المتدني عنصر إشارة واحدة، في حين تمثل موجة الضوء العالي-السعة عنصر إشارة أخرى
رقمين ثنائي ممثلة من قبل اثنين من ترددات مختلفة بالقرب من تردد الناقل
حيث يتم إجراء مقاصة بين F1 و F2 من تردد الناقل FC بنسب متساوية ولكن متعاكسين
أقل عرضة للخطأ من ASK
تستخدم في الترددات العالية (3-30 ميغاهرتز) الإرسال الإذاعي
In frequency shift keying, the frequency of the carrier signal is varied to represent data. The frequency of the modulated signal is constant for the duration of one signal element, but changes for the next signal element if the data element changes. Both peak amplitude and phase remain constant for all signal elements.
With this scheme, the &quot;1&quot; is called the mark frequency and the &quot;0&quot; is called the space frequency.
في وتيرة التحول القفل، وتباينت وتيرة إشارة الناقل لتمثيل البيانات. تردد إشارة التضمين هو ثابت لمدة عنصر إشارة واحدة، ولكن التغييرات للعنصر إشارة المقبل إذا تغير عنصر البيانات. كل من السعة ومرحلة الذروة تبقى ثابتة لجميع عناصر الإشارة.
مع هذا البرنامج، ويسمى &quot;1&quot; وتيرة علامة و&quot;0&quot; يسمى تردد الفضاء.
وتستخدم أكثر من عقدين من الترددات في FSK
أكثر كفاءة عرض النطاق الترددي
تستخدم لتردد التنقل في انتشار الطيف
In phase shift keying, the phase of the carrier is varied to represent two or more different signal elements. Both peak amplitude and frequency remain constant as the phase changes. Today, PSK is more common than ASK or FSK.
Because a phase shift of 180 is equivalent to flipping the sine wave or multiplying it by -1
An alternative form of two-level PSK is differential PSK (DPSK). Figure 6.5shows an example. In this scheme, a binary 0 is represented by sending a signal burst of the same phase as the previous signal burst sent.A binary 1 is represented by sending a signal burst of opposite phase to the preceding one. This term differential refers to the fact that the phase shift is with reference to the previous bit transmitted rather than to some constant reference signal. In differential encoding, the information to be transmitted is represented in terms of the changes between successive data symbols rather than the signal elements themselves. DPSK avoids the requirement for an accurate local oscillator phase at the receiver that is matched with the transmitter. As long as the preceding phase is received correctly, the phase reference is accurate.
في مرحلة التحول القفل، وتتنوع مرحلة الناقل لتمثيل اثنين أو أكثر من العناصر المختلفة الإشارة. كل من السعة والتردد الذروة تبقى ثابتة مع تغير المرحلة. اليوم، PSK هو أكثر شيوعا من ASK أو FSK.
لأن مرحلة التحول من 180 يعادل التقليب موجة جيبية أو ضرب من قبل -1
شكل بديل من مستويين PSK هو PSK التفاضلي (DPSK). الرقم 6.5shows مثال على ذلك. في هذا المخطط، وثنائي 0 يمثله إرسال انفجر إشارة من المرحلة ذاتها كما انفجرت إشارة السابقة sent.A ثنائي 1 يمثله إرسال إشارة انفجر المرحلة معاكسة لتلك التي سبقت. يشير هذا المصطلح إلى فارق حقيقة أن مرحلة التحول هو مع الإشارة إلى بت السابق ينتقل بدلا من بعض إشارة مرجعية ثابتة. في ترميز التفاضلية، والمعلومات التي يجب أن تنتقل يمثل من حيث التغييرات بين رموز البيانات المتتالية بدلا من العناصر إشارة أنفسهم. DPSK يتجنب متطلبات مرحلة مذبذب المحلية دقيقة على المتلقي أن تلاءم مع جهاز الإرسال. طالما استلام المرحلة السابقة بشكل صحيح، فإن الإشارة مرحلة دقيقة.
QPSK uses two carriers, one in-phase and the other quadrature. The point representing 11 is made of two combined signal elements, both with an amplitude of 1 V. One element is represented by an in-phase carrier, the other element by a quadrature carrier. The amplitude of the final signal element sent for this 2-bit data element is 2112, and the phase is 45°. The argument is similar for the other three points. All signal elements have an amplitude of 2112,but their phases are different (45°, 135°, -135°, and -45°). Of course, we could have chosen the amplitude of the carrier to be 1/(21/2) to make the final amplitudes 1V.
يستخدم QPSK حاملتي، واحدة في مرحلة والتربيع الآخر. يتم إجراء نقطة تمثل 11 من عنصرين إشارة مجتمعة، سواء مع اتساع 1 خامسا يتمثل أحد العناصر من قبل الناقل في مرحلة، وعنصر آخر من قبل الناقل التربيع. اتساع العنصر النهائي أرسلت إشارة لهذا العنصر البيانات 2-بت 2112، والمرحلة هي 45 درجة. الحجة هي مماثلة لثلاث نقاط أخرى. جميع عناصر إشارة لها سعة 2112، ولكن مراحلها مختلفة (45 درجة و 135 درجة مئوية، -135 درجة مئوية، و-45 درجة). بالطبع، يمكننا أن اختاروا سعة الناقل أن يكون 1 / (21/2) لجعل سعة النهائية 1V.
إشارتين مختلفة أرسلت في وقت واحد على نفس تردد الناقل
QAM is a popular analog signaling technique that is used in some wireless standards. This modulation technique is a combination of ASK and PSK. QAM can also be considered a logical extension of QPSK. QAM takes advantage of the fact that it is possible to send two different signals simultaneously on the same carrier frequency, by using two copies of the carrier frequency, one shifted by 900 with respect to the other.
Figure 6.10 shows the QAM modulation scheme in general terms. The input is a stream of binary digits arriving at a rate of R bps. This stream is converted into two separate bit streams of R/2 bps each, by taking alternate bits for the two streams. In the diagram, the upper stream is ASK modulated on a carrier of frequency Ie by multiplying the bit stream by the carrier. Thus, a binary zero is represented by the absence of the carrier wave and a binary one is represented by the presence of the carrier wave at a constant amplitude. This same carrier wave is shifted by 900 and used for ASK modulation of the lower binary stream. The two modulated signals are then added together and transmitted. The transmitted signal can be expressed as follows:
QAM
If two-level ASK is used, then each of the two streams can be in one of two states and the combined stream can be in one of 4 = 2 X 2 states. This is essentially QPSK.
تعديل الإشارات الرقمية
عندما تكون فقط مرافق النقل المتاحة التناظرية، والرقمية لتحويل التناظرية مطلوبة
تعديل الإشارات التناظرية
قد تكون هناك حاجة إلى تردد أعلى لنقل فعالة
تعديل يسمح بتقسيم التردد
البيانات التناظرية إلى إشارة رقمية
كود نبض التحوير (PCM)
دلتا التحوير (DM)
مرة واحدة وقد تم تحويل البيانات التناظرية إلى إشارات رقمية، والبيانات الرقمية
يمكن أن تنتقل باستخدام NRZ-L
يمكن المشفرة في صورة إشارة رقمية باستخدام تعليمات برمجية أخرى من NRZ-L
يمكن تحويلها إلى إشارة تناظرية
على أساس نظرية أخذ العينات
يتم تعيين كل عينة تمثيلية من الشفرة الثنائية
ويشار إلى عينات تمثيلية باسم نبض تعديل السعة عينات (PAM)
تتكون الإشارة الرقمية من كتلة بت n، حيث كل رقم N-بت واتساع نبض PCM
Pulse code modulation (PCM) is based on the sampling theorem, which states that If a signal f(t) is sampled at regular intervals of time and at a rate higher than twice the highest signal frequency, then the samples contain all the information of the original signaL The function f(t) may be reconstructed from these samples by the use of a low-pass filter. If voice data are limited to frequencies below 4000 Hz, a conservative
procedure for intelligibility, 8000 samples per second would be sufficient to characterize the voice signal completely. Note, however, that these are analog samples, called pulse amplitude modulation (PAM) samples. To convert to digital, each of these analog samples must be assigned a binary code.
Figure 6.15 shows an example in which the original signal is assumed to be band limited with a bandwidth of B. PAM samples are taken at a rate of 2B, or once every Ts = 1/2B seconds. Each PAM sample is approximated by being quantized into one of 16 different levels. Each sample can then be represented by 4 bits. But because the quantized values are only approximations, it is impossible to recover the original signal exactly. By using an 8-bit sample, which allows 256 quantizing levels, the quality of the recovered voice signal is comparable with that achieved via analog transmission. Note that this implies that a data rate of (8000 samples per second) X (8 bits per sample) = 64 kbps is needed for a single
voice signal. Thus, PCM starts with a continuous-time, continuous-amplitude (analog) signal, from which a digital signal is produced. The digital signal consists of blocks of n bits, where each n-bit number is the amplitude of a PCM pulse. On reception, the process is reversed to reproduce the analog signaL Notice, however, that this process violates the terms of the sampling theorem. By quantizing the PAM pulse, the original
signal is now only approximated and cannot be recovered exactly. This effect is known as quantizing error or quantizing noise. The signal-to-noise ratio for quantizing noise can be expressed as [GIBS93]
SNRdB = 20 log 2n + 1.76 dB = 6.02n + 1.76 dB
Thus each additional bit used for quantizing increases SNR by about 6 dB, which is
a factor of 4.
ويستند كود نبض التحوير (PCM) على نظرية أخذ العينات، والتي تنص على أنه إذا تم أخذ عينات من إشارة و (ر) على فترات منتظمة من الزمن، وبمعدل أعلى من ضعفي أعلى تردد إشارة، ثم العينات تحتوي على جميع المعلومات و الإشارة الأصلية و وظيفة (ر) يجوز بناؤها من هذه العينات باستخدام مرشح تمرير منخفض. إذا كانت البيانات الصوتية تقتصر على ترددات أقل من 4000 هرتز، وهو محافظ
إجراءات وضوح، أن 8000 عينة في الثانية يكون كافيا لتوصيف إشارة الصوت تماما. نلاحظ، مع ذلك، أن هذه هي عينات تمثيلية، دعا تعديل نبض السعة عينات (PAM). تحويل إلى الرقمية، ولكل من هذه العينات التناظرية يجب تعيين رمز ثنائي.
ويبين الشكل 6.15 مثال الذي يفترض الإشارة الأصلية لتكون الفرقة محدودة مع عرض النطاق الترددي لعينات B. PAM تؤخذ بمعدل 2B، أو مرة واحدة كل تس = 1 / 2B ثواني. ويقترب كل عينة حزب الأصالة والمعاصرة من خلال الكم يجري في واحدة من 16 مستويات مختلفة. ومن ثم يمكن تمثيل كل عينة بنسبة 4 بت. ولكن لأن القيم المكممة تقريبية فقط، فإنه من المستحيل لاسترداد الإشارة الأصلية بالضبط. باستخدام عينة 8 بت، والذي يسمح تثبيت قيمة 256 المستويات، وجودة الإشارة الصوتية تعافى قابلة للمقارنة مع تلك التي تحققت عبر انتقال التناظرية. لاحظ أن هذا يعني أن هناك حاجة إلى البيانات بمعدل (8000 عينة في الثانية) X (8 بت لكل عينة) = 64 كيلو بايت في الثانية لفترة واحدة
إشارة صوتية. وبالتالي، يبدأ PCM مع الوقت متواصل ومستمر، سعة (التناظرية) إشارة، والتي تنتج إشارة رقمية. تتكون الإشارة الرقمية كتل بت n، حيث كل رقم N-بت واتساع نبض PCM. على الاستقبال، ويتم عكس عملية إعادة إنشاء إشارة تناظرية لاحظ، مع ذلك، أن هذه العملية تشكل انتهاكا لشروط نظرية أخذ العينات. قبل تثبيت قيمة النبض حزب الأصالة والمعاصرة، الأصلي
والآن يقترب إشارة فقط ولا يمكن استردادها بالضبط. يعرف هذا التأثير كما تثبيت قيمة الخطأ أو تثبيت قيمة الضوضاء. نسبة الإشارة إلى الضوضاء لتثبيت قيمة الضوضاء يمكن التعبير عن [GIBS93]
SNRdB = 20 سجل 2N + 1.76 ديسيبل = 6.02n + 1.76 ديسيبل
وبالتالي كل بت إضافي يستخدم لتثبيت قيمة SNR يزيد بنسبة 6 ديسيبل، وهو
عامل 4.
قبل تثبيت قيمة النبض حزب الأصالة والمعاصرة، ويقترب الإشارة الأصلية فقط
يؤدي إلى تثبيت قيمة الضوضاء
نسبة الإشارة إلى الضوضاء لتثبيت قيمة الضوضاء
كل بت إضافي عادة ما يزيد SNR بنسبة 6 ديسيبل، أو عاملا من 4.
ويمكن تحسين نسبة SNR بواسطة الترميز غير الخطية مثل تكميم غير موحدة.
في بلدية دبي، ويقترب مدخلات تناظرية حسب الوظيفة الدرج
تتحرك صعودا أو هبوطا حسب مستوى تكميم احد () في كل فترة أخذ العينات
تيار قليلا يقارب المشتقة من الإشارات التناظرية (بدلا من السعة)
1 يتم إنشاؤها إذا ظيفة ترتفع
0 خلاف ذلك
معلمتين هامة
حجم خطوة المخصصة لكل ثنائي الرقم ()
معدل أخذ العينات
تحسنت دقة من خلال زيادة معدل أخذ العينات
ومع ذلك، فإن هذا يزيد من معدل البيانات
ميزة DM خلال PCM هي بساطة تنفيذه.
تستخدم لتشفير إشارة الصوت في بلوتوث.
PCM المعارض SNR أفضل في معدل البيانات نفسه.
ترميز إشارة
تقنيات الترميز الأساسية
الرقمية إلى تناظرية
التناظرية إلى تناظرية
التناظرية إلى الرقمية
مشاكل 6.1، 6.10، 6.16