The document discusses digital transmission of data and signals. It describes how analog data and signals can be converted to digital formats using techniques like pulse code modulation (PCM) and delta modulation. It also discusses how digital data can be represented as digital signals using line coding schemes like NRZ and block coding. Additionally, it covers analog-to-digital conversion methods like PCM and delta modulation for converting analog signals to digital data. Finally, it examines different modes for transmitting data serially or in parallel, including asynchronous, synchronous, and isochronous serial transmission.
This document discusses digital transmission through analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation. It describes the key steps of PCM: sampling the analog signal at regular intervals, quantizing the sampled signal amplitudes into discrete levels, and encoding the quantized levels into binary code. The sampling rate must be at least twice the highest signal frequency to avoid aliasing, as per the Nyquist theorem. Quantization introduces approximation errors that can be reduced by using more levels, though this increases the required bit rate. PCM allows digital transmission of signals in a noise-robust way, though it requires more bandwidth than direct analog transmission.
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.
The document discusses digital transmission fundamentals, including:
- Digital signals are represented as sequences of bits that can take on discrete values (0 or 1). More bits are needed to represent information with higher content or complexity.
- Analog signals like voice and video need to be digitized by sampling and quantizing them. This allows the signals to be transmitted over digital networks and regenerated without degradation.
- Communication channels have bandwidth limits that constrain the rate at which information can be transmitted accurately. Channels also introduce impairments like noise, attenuation and distortion.
- Digital transmission offers advantages over analog like long-distance communication without repeated degradation and the ability to detect and correct errors.
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.
The document discusses digital transmission fundamentals, including:
- Digital representation of analog signals involves sampling, quantization, and pulse code modulation.
- The sampling rate must be at least twice the bandwidth of the signal to allow perfect reconstruction.
- Quantization maps samples to discrete levels, introducing quantization error. More levels reduce error but increase transmission bandwidth needs.
- Digital transmission enables long distance communication by regeneration of the digital signal rather than analog amplification, overcoming distance limitations of analog systems.
The document discusses various techniques for digital-to-digital conversion, including line coding, block coding, and scrambling. It explains line coding in more detail, covering topics such as signal element versus data element, line coding schemes like NRZ-L, NRZ-I, Manchester encoding, and multilevel coding schemes like 2B1Q. Worked examples are provided to illustrate concepts like calculating signal rate from data rate for different coding schemes.
Data Communication & Computer Networks:Digital Signal EncodingDr Rajiv Srivastava
These slides cover the fundamentals of data communication & networking. It covers Digital signal Encoding which are used in communication of data over transmission medium. it is useful for engineering students & also for the candidates who want to master data communication & computer networking.
Digital transmission involves three main techniques: line coding, block coding, and scrambling. Line coding converts digital data to digital signals, such as NRZ and Manchester encoding. Block coding groups bits into blocks and replaces each block with another block, like 4B/5B encoding. Scrambling substitutes long runs of zeros to aid synchronization, using techniques like B8ZS and HDB3. Together these techniques allow reliable digital transmission over analog channels.
This document discusses digital transmission through analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation. It describes the key steps of PCM: sampling the analog signal at regular intervals, quantizing the sampled signal amplitudes into discrete levels, and encoding the quantized levels into binary code. The sampling rate must be at least twice the highest signal frequency to avoid aliasing, as per the Nyquist theorem. Quantization introduces approximation errors that can be reduced by using more levels, though this increases the required bit rate. PCM allows digital transmission of signals in a noise-robust way, though it requires more bandwidth than direct analog transmission.
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.
The document discusses digital transmission fundamentals, including:
- Digital signals are represented as sequences of bits that can take on discrete values (0 or 1). More bits are needed to represent information with higher content or complexity.
- Analog signals like voice and video need to be digitized by sampling and quantizing them. This allows the signals to be transmitted over digital networks and regenerated without degradation.
- Communication channels have bandwidth limits that constrain the rate at which information can be transmitted accurately. Channels also introduce impairments like noise, attenuation and distortion.
- Digital transmission offers advantages over analog like long-distance communication without repeated degradation and the ability to detect and correct errors.
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.
The document discusses digital transmission fundamentals, including:
- Digital representation of analog signals involves sampling, quantization, and pulse code modulation.
- The sampling rate must be at least twice the bandwidth of the signal to allow perfect reconstruction.
- Quantization maps samples to discrete levels, introducing quantization error. More levels reduce error but increase transmission bandwidth needs.
- Digital transmission enables long distance communication by regeneration of the digital signal rather than analog amplification, overcoming distance limitations of analog systems.
The document discusses various techniques for digital-to-digital conversion, including line coding, block coding, and scrambling. It explains line coding in more detail, covering topics such as signal element versus data element, line coding schemes like NRZ-L, NRZ-I, Manchester encoding, and multilevel coding schemes like 2B1Q. Worked examples are provided to illustrate concepts like calculating signal rate from data rate for different coding schemes.
Data Communication & Computer Networks:Digital Signal EncodingDr Rajiv Srivastava
These slides cover the fundamentals of data communication & networking. It covers Digital signal Encoding which are used in communication of data over transmission medium. it is useful for engineering students & also for the candidates who want to master data communication & computer networking.
Digital transmission involves three main techniques: line coding, block coding, and scrambling. Line coding converts digital data to digital signals, such as NRZ and Manchester encoding. Block coding groups bits into blocks and replaces each block with another block, like 4B/5B encoding. Scrambling substitutes long runs of zeros to aid synchronization, using techniques like B8ZS and HDB3. Together these techniques allow reliable digital transmission over analog channels.
This document discusses digital transmission methods. It covers line coding techniques like unipolar, polar, and bipolar encoding that convert binary data to digital signals. It also discusses block coding which divides bits into groups, substitutes codes, and applies line coding. Sampling techniques like pulse amplitude modulation and pulse code modulation are explained for converting analog signals to digital. The document provides examples and diagrams to illustrate key concepts in digital signal transmission.
1. The document discusses various principles of digital and analog transmission including modulation, demodulation, and encoding/decoding of signals.
2. It describes how analog signals are converted to digital pulses for transmission and reconverted at the receiver.
3. Several types of pulse modulation are covered, including how the amplitude, width, or timing of pulses can be varied to represent the modulating signal. Pulse-amplitude modulation is discussed as one of the simplest forms of pulse modulation.
This document discusses digital-to-digital conversion techniques for transmitting digital data, including line coding, block coding, and scrambling. It describes line coding as the process of converting digital data to digital signals. Common line coding schemes include NRZ-L, NRZ-I, RZ, Manchester, and AMI. Block coding and scrambling may also be used and involve techniques like B8ZS and HDB3. Digital data can be transmitted serially or in parallel, with serial transmission divided into asynchronous, synchronous, and isochronous modes.
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.
Introduction to digital communication, base band system, formatting of textual data, MESSAGES, CHARACTERS, AND SYMBOLS, Example of Messages, Characters, and Symbols, Baseband Modulation, Intersymbol Interference
This document discusses source coding and channel coding in communication systems. It defines source coding as the process of encoding source data, such as speech or text, into binary format before transmission. Channel coding adds redundancy to encoded data to detect and correct errors during transmission over a noisy communication channel. Common source coding techniques discussed include Huffman coding and Lempel-Ziv algorithms, while channel coding includes block codes and convolution codes. Entropy, mutual information, and other information theory concepts are also introduced.
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.
Digital Data to Digital Signal ConversionArafat Hossan
Digital to Digital Conversion
Conversion Techniques
Line Coding
Relationship Between Data Rate and Signal Rate
Line Coding Schemes
Unipolar
Polar
Bipolar
Block Coding
Scrambling
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.
Wireless digital communication and coding techniques newClyde Lettsome
Lecture about some modern digital communication techniques in this lecture. These techniques will include but are not limited to:
- Code Error Detection and correction
- Parity
- Cyclical Redundancy Coding (CRC)
- Hamming Code
- Digital Modulation Techniques
- Frequency Shift Keying (FSK)
- Binary Phase Shift Keying (BPSK)
- Quadrature Phase Shift Keying (QPSK)
- Channel Access
- Time Division Multiple Access (TDMA)
- Code Division Multiple Access (CDMA)
This document provides an overview of digital transmission techniques, including:
- Digital-to-digital conversion techniques like line coding, block coding, and scrambling.
- Analog-to-digital conversion using pulse code modulation and delta modulation.
- Transmission modes like parallel, asynchronous serial, and synchronous serial transmission.
It includes examples and diagrams illustrating key concepts like Nyquist sampling rate, PCM encoding and decoding, delta modulation, and asynchronous vs synchronous serial transmission.
Tables and figures are provided summarizing common line coding schemes and the 4B/5B block coding mapping codes.
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
The document discusses various aspects of digital communication systems including:
- Transformation of information to signals and the concepts of bandwidth, bit rate, and bit interval.
- The advantages of digital signals over analog signals including their ability to withstand noise better and be coded for low error rates.
- Elements of a basic digital communication system including the source of information, modulator, channel, demodulator, and use of information.
- Popular digital modulation techniques like PSK, QAM, ASK and FSK and how they map binary data to symbols for transmission over the channel.
Data Communication & Computer Networks : Unipolar & Polar codingDr Rajiv Srivastava
This document discusses different line coding schemes used for data transmission and conversion. It begins by describing different data conversion techniques such as digital to digital, line coding, block coding, scrambling, analog to digital conversion, and digital to analog conversion. It then discusses the main categories of line coding schemes and focuses on polar encoding techniques including Non-Return to Zero (NRZ), Return to Zero (RZ), and biphase encoding such as Manchester encoding and differential Manchester encoding. Specific details are provided on how each scheme encodes binary data into signals. Common applications of these coding schemes in standards such as Ethernet and token ring networks are also mentioned.
This document discusses communication networks and data transmission. It covers the basic components of a transmission system including transmitters that encode digital data and receivers that decode the signals back into data. It describes different transmission mediums and the impairments they can cause. It also explains techniques used for encoding data like line coding and modulating signals for bandpass channels. Finally, it discusses multiplexing techniques like frequency division multiplexing and time division multiplexing that allow multiple signals to be transmitted over the same communication channel.
The Presentation is as per the syllabus of the subject ”Digital Communication” of B.E. VIth Semester of Sant Gadge Baba Amravati University, Maharashtra, India
Contents are
Digital Communication System
Line Coding
Scrambling
This document discusses digital transmission techniques for converting digital data into digital signals. It covers line coding, which maps binary data bits to signal levels. Common line coding schemes include NRZ, RZ, Manchester, and AMI. Multilevel coding schemes are also introduced, which encode multiple data bits as a single signal element to increase data rates. Key considerations for line coding include baseline wandering, DC components, self-synchronization, error detection, noise immunity, and complexity. Worked examples calculate baud rates and minimum bandwidths for different schemes.
Digital Data, Digital Signal | Scrambling TechniquesBiplap Bhattarai
Digital signal is a sequence of discrete, discontinuous voltage pulses.
Each pulse is a signal element.
Binary data are transmitted by encoding the bit stream into signal elements.
In the simplest case, one bit is represented by one signal element.
- E.g., 1 is represented by a lower voltage level, and 0 is represented by a higher voltage level
Line_Coding.ppt for engineering students for ug and pgHasanujJaman11
Line encoding is the process of converting digital data to digital signals. It involves representing each data bit as a signal element. There are various line coding schemes such as NRZ, RZ, and Manchester that use different signal patterns to represent bits. Block coding groups bits into blocks and encodes each block into a code word. This allows for error detection and synchronization. Pulse code modulation is used to convert analog signals to digital. It involves sampling, quantizing, and encoding the analog signal into binary code words. The sampling rate must be at least twice the highest frequency per the Nyquist theorem to perfectly reconstruct the original signal.
The document discusses analog-to-digital conversion techniques. It describes pulse code modulation (PCM) which involves sampling an analog signal, quantizing the sample amplitudes, and encoding the quantized values into binary digits. It also describes delta modulation which encodes changes in signal amplitude rather than absolute values. PCM provides higher quality reconstruction of signals but requires a higher bit rate. The Nyquist sampling theorem states the minimum required sampling rate is twice the highest frequency component of the signal.
This document discusses digital transmission methods. It covers line coding techniques like unipolar, polar, and bipolar encoding that convert binary data to digital signals. It also discusses block coding which divides bits into groups, substitutes codes, and applies line coding. Sampling techniques like pulse amplitude modulation and pulse code modulation are explained for converting analog signals to digital. The document provides examples and diagrams to illustrate key concepts in digital signal transmission.
1. The document discusses various principles of digital and analog transmission including modulation, demodulation, and encoding/decoding of signals.
2. It describes how analog signals are converted to digital pulses for transmission and reconverted at the receiver.
3. Several types of pulse modulation are covered, including how the amplitude, width, or timing of pulses can be varied to represent the modulating signal. Pulse-amplitude modulation is discussed as one of the simplest forms of pulse modulation.
This document discusses digital-to-digital conversion techniques for transmitting digital data, including line coding, block coding, and scrambling. It describes line coding as the process of converting digital data to digital signals. Common line coding schemes include NRZ-L, NRZ-I, RZ, Manchester, and AMI. Block coding and scrambling may also be used and involve techniques like B8ZS and HDB3. Digital data can be transmitted serially or in parallel, with serial transmission divided into asynchronous, synchronous, and isochronous modes.
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.
Introduction to digital communication, base band system, formatting of textual data, MESSAGES, CHARACTERS, AND SYMBOLS, Example of Messages, Characters, and Symbols, Baseband Modulation, Intersymbol Interference
This document discusses source coding and channel coding in communication systems. It defines source coding as the process of encoding source data, such as speech or text, into binary format before transmission. Channel coding adds redundancy to encoded data to detect and correct errors during transmission over a noisy communication channel. Common source coding techniques discussed include Huffman coding and Lempel-Ziv algorithms, while channel coding includes block codes and convolution codes. Entropy, mutual information, and other information theory concepts are also introduced.
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.
Digital Data to Digital Signal ConversionArafat Hossan
Digital to Digital Conversion
Conversion Techniques
Line Coding
Relationship Between Data Rate and Signal Rate
Line Coding Schemes
Unipolar
Polar
Bipolar
Block Coding
Scrambling
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.
Wireless digital communication and coding techniques newClyde Lettsome
Lecture about some modern digital communication techniques in this lecture. These techniques will include but are not limited to:
- Code Error Detection and correction
- Parity
- Cyclical Redundancy Coding (CRC)
- Hamming Code
- Digital Modulation Techniques
- Frequency Shift Keying (FSK)
- Binary Phase Shift Keying (BPSK)
- Quadrature Phase Shift Keying (QPSK)
- Channel Access
- Time Division Multiple Access (TDMA)
- Code Division Multiple Access (CDMA)
This document provides an overview of digital transmission techniques, including:
- Digital-to-digital conversion techniques like line coding, block coding, and scrambling.
- Analog-to-digital conversion using pulse code modulation and delta modulation.
- Transmission modes like parallel, asynchronous serial, and synchronous serial transmission.
It includes examples and diagrams illustrating key concepts like Nyquist sampling rate, PCM encoding and decoding, delta modulation, and asynchronous vs synchronous serial transmission.
Tables and figures are provided summarizing common line coding schemes and the 4B/5B block coding mapping codes.
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
The document discusses various aspects of digital communication systems including:
- Transformation of information to signals and the concepts of bandwidth, bit rate, and bit interval.
- The advantages of digital signals over analog signals including their ability to withstand noise better and be coded for low error rates.
- Elements of a basic digital communication system including the source of information, modulator, channel, demodulator, and use of information.
- Popular digital modulation techniques like PSK, QAM, ASK and FSK and how they map binary data to symbols for transmission over the channel.
Data Communication & Computer Networks : Unipolar & Polar codingDr Rajiv Srivastava
This document discusses different line coding schemes used for data transmission and conversion. It begins by describing different data conversion techniques such as digital to digital, line coding, block coding, scrambling, analog to digital conversion, and digital to analog conversion. It then discusses the main categories of line coding schemes and focuses on polar encoding techniques including Non-Return to Zero (NRZ), Return to Zero (RZ), and biphase encoding such as Manchester encoding and differential Manchester encoding. Specific details are provided on how each scheme encodes binary data into signals. Common applications of these coding schemes in standards such as Ethernet and token ring networks are also mentioned.
This document discusses communication networks and data transmission. It covers the basic components of a transmission system including transmitters that encode digital data and receivers that decode the signals back into data. It describes different transmission mediums and the impairments they can cause. It also explains techniques used for encoding data like line coding and modulating signals for bandpass channels. Finally, it discusses multiplexing techniques like frequency division multiplexing and time division multiplexing that allow multiple signals to be transmitted over the same communication channel.
The Presentation is as per the syllabus of the subject ”Digital Communication” of B.E. VIth Semester of Sant Gadge Baba Amravati University, Maharashtra, India
Contents are
Digital Communication System
Line Coding
Scrambling
This document discusses digital transmission techniques for converting digital data into digital signals. It covers line coding, which maps binary data bits to signal levels. Common line coding schemes include NRZ, RZ, Manchester, and AMI. Multilevel coding schemes are also introduced, which encode multiple data bits as a single signal element to increase data rates. Key considerations for line coding include baseline wandering, DC components, self-synchronization, error detection, noise immunity, and complexity. Worked examples calculate baud rates and minimum bandwidths for different schemes.
Digital Data, Digital Signal | Scrambling TechniquesBiplap Bhattarai
Digital signal is a sequence of discrete, discontinuous voltage pulses.
Each pulse is a signal element.
Binary data are transmitted by encoding the bit stream into signal elements.
In the simplest case, one bit is represented by one signal element.
- E.g., 1 is represented by a lower voltage level, and 0 is represented by a higher voltage level
Line_Coding.ppt for engineering students for ug and pgHasanujJaman11
Line encoding is the process of converting digital data to digital signals. It involves representing each data bit as a signal element. There are various line coding schemes such as NRZ, RZ, and Manchester that use different signal patterns to represent bits. Block coding groups bits into blocks and encodes each block into a code word. This allows for error detection and synchronization. Pulse code modulation is used to convert analog signals to digital. It involves sampling, quantizing, and encoding the analog signal into binary code words. The sampling rate must be at least twice the highest frequency per the Nyquist theorem to perfectly reconstruct the original signal.
The document discusses analog-to-digital conversion techniques. It describes pulse code modulation (PCM) which involves sampling an analog signal, quantizing the sample amplitudes, and encoding the quantized values into binary digits. It also describes delta modulation which encodes changes in signal amplitude rather than absolute values. PCM provides higher quality reconstruction of signals but requires a higher bit rate. The Nyquist sampling theorem states the minimum required sampling rate is twice the highest frequency component of the signal.
The document discusses analog-to-digital conversion techniques. It describes pulse code modulation (PCM) which involves sampling an analog signal, quantizing the sample amplitudes, and encoding the quantized values into binary digits. The key steps are sampling the signal, quantizing the signal amplitudes into discrete levels, and assigning binary codes to the quantization levels. Delta modulation is also described which transmits only the difference between successive sample amplitudes using 1 bit per sample.
This document discusses digital transmission techniques. It begins by explaining digital-to-digital conversion which involves line coding, block coding, and scrambling to represent digital data with digital signals. It then discusses analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation. PCM samples an analog signal, quantizes the samples, and encodes the quantized values as a bit stream. The document provides details on various line coding schemes such as NRZ, Manchester, and scrambling techniques like B8ZS and HDB3. It also covers block coding, multilevel coding schemes, and the relationships between data rate and signal rate.
The document discusses various topics related to digital transmission including:
1. Digital-to-digital conversion techniques like line coding, block coding, and scrambling that are used to represent digital data with digital signals. Line coding is always needed while block coding and scrambling may or may not be needed.
2. Analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation that are used to convert analog signals to digital data. PCM involves sampling, quantization, and encoding of analog signals.
3. Transmission modes including parallel transmission of multiple bits together and serial transmission of one bit at a time. Serial transmission can be asynchronous, synchronous, or isochronous depending
The document discusses various topics related to digital transmission including:
1. Digital-to-digital conversion techniques like line coding, block coding, and scrambling that are used to represent digital data with digital signals. Line coding is always needed while block coding and scrambling may or may not be needed.
2. Analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation that are used to convert analog signals to digital data. PCM involves sampling, quantization, and encoding of analog signals.
3. Transmission modes including parallel transmission of multiple bits together and serial transmission of one bit at a time. Serial transmission can be asynchronous, synchronous, or isochronous depending
The document discusses various topics related to digital transmission including:
1. Digital-to-digital conversion techniques like line coding, block coding, and scrambling that are used to represent digital data with digital signals. Line coding is always needed while block coding and scrambling may or may not be needed.
2. Analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation that are used to convert analog signals to digital data. PCM involves sampling, quantizing, and encoding an analog signal while meeting the Nyquist sampling criterion.
3. Transmission modes including parallel transmission of multiple bits at once and serial transmission of one bit at a time. Serial transmission can be asynchronous,
1. The document discusses different techniques for digital-to-digital and analog-to-digital conversion including line coding, block coding, and scrambling.
2. It describes several line coding schemes used to convert digital data to digital signals including unipolar, NRZ, RZ, biphase, and AMI.
3. It also covers analog-to-digital conversion techniques like pulse code modulation (PCM) which involves sampling, quantizing, and encoding an analog signal into digital data.
4. Analog to digital conversation (1).ppttest22333
This document discusses digital transmission techniques, including analog-to-digital conversion methods like pulse code modulation (PCM) and delta modulation. It explains the key steps in PCM - sampling, quantization, and binary encoding. It also covers important concepts like the Nyquist sampling theorem and quantization error. Delta modulation is introduced as an alternative that transmits only the differences between signal pulses. The document concludes by describing parallel, asynchronous, synchronous, and isochronous transmission modes.
This document discusses digital transmission techniques, including analog-to-digital conversion methods like pulse code modulation (PCM) and delta modulation. It explains the key steps in PCM - sampling, quantization, and binary encoding. It also covers important concepts like the Nyquist sampling theorem and quantization error. Delta modulation is introduced as an alternative that transmits only the differences between signal pulses. The document concludes by describing parallel, asynchronous, synchronous, and isochronous transmission modes for sending digital data across a link.
This section discusses two techniques for analog to digital conversion: pulse code modulation (PCM) and delta modulation. PCM involves sampling an analog signal, quantizing the sample amplitudes into discrete levels, and encoding the levels into binary digits. The sampling rate must be at least twice the highest signal frequency according to the Nyquist theorem. Delta modulation encodes the difference between samples rather than their absolute values, using one bit per sample. It has a simpler design than PCM but can result in larger errors for signals with large amplitude changes between samples.
Ch4 1 Data communication and networking by neha g. kuraleNeha Kurale
This document discusses analog-to-digital conversion techniques, specifically pulse code modulation (PCM) and delta modulation. PCM consists of sampling an analog signal, quantizing the sample amplitudes into discrete levels, and encoding the levels into binary codes. The sampling rate must be at least twice the highest frequency in the signal according to the Nyquist theorem. Quantization introduces error but more levels reduce the error. Delta modulation encodes changes in signal amplitude rather than absolute levels. Serial transmission can be asynchronous, synchronous, or isochronous depending on whether start/stop bits are used and if gaps between frames are of fixed duration.
Chapter 4 digital transmission computer_networkDhairya Joshi
This document summarizes different techniques for digital transmission and conversion. It discusses digital-to-digital conversion through line coding, block coding, and scrambling. It also covers analog-to-digital conversion using pulse code modulation and delta modulation. Finally, it examines parallel and serial transmission modes, including asynchronous, synchronous, and isochronous serial transmission. The document contains diagrams illustrating these techniques and examples applying related concepts.
This document summarizes different techniques for digital transmission and conversion. It discusses digital-to-digital conversion methods like line coding, block coding, and scrambling. It also covers analog-to-digital conversion techniques such as pulse code modulation and delta modulation. Additionally, it examines transmission modes including parallel, asynchronous serial, synchronous serial, and isochronous serial transmission. Key concepts covered include line coding schemes, sampling rates, quantization, encoding, decoding, and parallel versus serial data transmission.
This document summarizes different techniques for digital transmission and conversion. It discusses digital-to-digital conversion including line coding, block coding, and scrambling. It also discusses analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation. Finally, it covers transmission modes including parallel and serial transmission of binary data across a link. Key topics include line coding schemes, the Nyquist sampling theorem, quantization in PCM, and the components and processes of PCM encoding and decoding as well as delta modulation.
This document summarizes different techniques for digital transmission and conversion. It discusses digital-to-digital conversion through line coding, block coding, and scrambling. It also covers analog-to-digital conversion using pulse code modulation and delta modulation. Finally, it examines different transmission modes including parallel, asynchronous serial, synchronous serial, and isochronous serial transmission. The document contains diagrams and examples to illustrate key concepts in digital signal processing.
This document summarizes different techniques for digital transmission and conversion. It discusses digital-to-digital conversion including line coding, block coding, and scrambling. It also discusses analog-to-digital conversion techniques like pulse code modulation (PCM) and delta modulation. Finally, it covers transmission modes including parallel and serial transmission of binary data across a link. Key topics include line coding schemes, the Nyquist sampling theorem, quantization in PCM, and the components and processes of PCM encoding and decoding as well as delta modulation.
This document discusses digital-to-digital conversion and various techniques used including line coding, block coding, and scrambling. It then discusses analog-to-digital conversion, focusing on pulse code modulation (PCM) and delta modulation. Finally, it covers transmission modes including parallel, asynchronous serial, and synchronous serial transmission. Key topics include Nyquist sampling theorem, quantization noise, bit rate calculations, multiplexing, modulation techniques like ASK, FSK, PSK, and applications in voice and data transmission. Worked examples are provided to illustrate concepts like bandwidth calculations for different modulation schemes.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
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* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
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#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
2. 4.2
Components of Data
Communication
Data
Analog: Continuous value data (sound, light,
temperature)
Digital: Discrete value (text, integers,
symbols)
Signal
Analog: Continuously varying
electromagnetic wave
Digital: Series of voltage pulses (square
wave)
3. 4.3
Analog Data-->Signal Options
Analog data to analog signal
Inexpensive, easy conversion (eg telephone)
Used in traditional analog telephony
Analog data to digital signal
Requires a codec (encoder/decoder)
Allows use of digital telephony, voice mail
4. 4.4
Digital Data-->Signal Options
Digital data to analog signal
Requires modem (modulator/demodulator)
Necessary when analog transmission is used
Digital data to digital signal
Less expensive when large amounts of data
are involved
More reliable because no conversion is
involved
5. 4.5
4-1 DIGITAL-TO-DIGITAL CONVERSION4-1 DIGITAL-TO-DIGITAL CONVERSION
In this section, we see how we can represent digitalIn this section, we see how we can represent digital
data by using digital signals. The conversion involvesdata by using digital signals. The conversion involves
three techniques:three techniques: line codingline coding,, block codingblock coding, and, and
scramblingscrambling. Line coding is always needed; block. Line coding is always needed; block
coding and scrambling may or may not be needed.coding and scrambling may or may not be needed.
Line Coding
Line Coding Schemes
Block Coding
Scrambling
Topics discussed in this section:Topics discussed in this section:
7. 4.7
Figure 4.2 Signal element versus data element
r = number of data elements / number of signal elements
8. 4.8
Data Rate Vs. Signal Rate
•Data rate: the number of data elements (bits) sent
in 1s (bps). It’s also called the bit rate
•Signal rate: the number of signal elements sent in 1s
(baud). It’s also called the pulse rate, the modulation
rate, or the baud rate.
We wish to:
1. increase the data rate (increase the speed of
transmission)
2. decrease the signal rate (decrease the bandwidth
requirement)
3. Worst case, best case, and average case of r
4. S = c * N / r baud
9. 4.9
Baseline wandering
Baseline: running average of the
received signal power
DC Components
Constant digital signal creates low
frequencies
Self-synchronization
Receiver Setting the clock matching the
sender’s
13. 4.13
Digital Encoding
of Digital Data
Most common, easiest method is different
voltage levels for the two binary digits
Typically, negative=1 and positive=0
Known as NRZ-L, or nonreturn-to-zero
level, because signal never returns to zero,
and the voltage during a bit transmission is
level
14. 4.14
Differential NRZ
Differential version is NRZI (NRZ, invert
on ones)
Change=1, no change=0
Advantage of differential encoding is that it
is more reliable to detect a change in
polarity than it is to accurately detect a
specific level
15. 4.15
Problems With NRZ
Difficult to determine where one bit ends
and the next begins
In NRZ-L, long strings of ones and zeroes
would appear as constant voltage pulses
Timing is critical, because any drift results
in lack of synchronization and incorrect bit
values being transmitted
18. 4.18
Manchester Code
Transition in the middle of each bit period
Transition provides clocking and data
Low-to-high=1 , high-to-low=0
Used in Ethernet
19. 4.19
Differential Manchester
Midbit transition is only for clocking
Transition at beginning of bit period=0
Transition absent at beginning=1
Has added advantage of differential
encoding
Used in token-ring
23. 4.23
Multilevel Schemes
• In mBnL schemes, a pattern of m
data elements is encoded as a
pattern of n signal elements in
which 2m
≤ Ln
• m: the length of the binary pattern
• B: binary data
• n: the length of the signal pattern
• L: number of levels in the signaling
• B for l=2 binary
• T for l=3 ternary
• Q for l=4 quaternary
28. 4.28
Block Coding
• Redundancy is needed to ensure
synchronization and to provide
error detecting
• Block coding is normally referred to
as mB/nB coding
• it replaces each m-bit group with an
n-bit group
• m < n
34. 4.34
Scrambling
• It modifies the bipolar AMI encoding
(no DC component, but having the
problem of synchronization)
• It does not increase the number of
bits
• It provides synchronization
• It uses some specific form of bits to
replace a sequence of 0s
35. 4.35
Figure 4.19 Two cases of B8ZS scrambling technique
B8ZS substitutes eight consecutive zeros with 000VB0VB
36. 4.36
Figure 4.20 Different situations in HDB3 scrambling technique
HDB3 substitutes four consecutive zeros with 000V or B00V depending
on the number of nonzero pulses after the last substitution.
37. 4.37
4-2 ANALOG-TO-DIGITAL CONVERSION4-2 ANALOG-TO-DIGITAL CONVERSION
The tendency today is to change an analog signal toThe tendency today is to change an analog signal to
digital data.digital data.
In this section we describe two techniques,In this section we describe two techniques,
pulse code modulationpulse code modulation andand delta modulationdelta modulation..
39. 4.39
According to the Nyquist theorem, the
sampling rate must be at least 2 times
the highest frequency contained in the
signal.
What can we get from this:
1. we can sample a signal only if the signal is
band-limited
2. the sampling rate must be at least 2 times the
highest frequency, not the bandwidth
43. 4.43
An example related is the seemingly backward rotation of
the wheels of a forward-moving car in a movie.
This can be explained by under-sampling. A movie is
filmed at 24 frames per second. If a wheel is rotating
more than 12 times per second, the under-sampling
creates the impression of a backward rotation.
Example
44. 4.44
A complex low-pass signal has a bandwidth of 200 kHz.
What is the minimum sampling rate for this signal?
Solution
The bandwidth of a low-pass signal is between 0 and f,
where f is the maximum frequency in the signal.
Therefore, we can sample this signal at 2 times the
highest frequency (200 kHz). The sampling rate is
therefore 400,000 samples per second.
Example
45. 4.45
A complex bandpass signal has a bandwidth of 200 kHz.
What is the minimum sampling rate for this signal?
Solution
We cannot find the minimum sampling rate in this case
because we do not know where the bandwidth starts or
ends. We do not know the maximum frequency in the
signal.
Example
47. 4.47
What is the SNRdB in the example of Figure 4.26?
Solution
We have eight levels and 3 bits per sample, so
SNRdB = 6.02 x 3 + 1.76 = 19.82 dB
Increasing the number of levels increases the SNR.
Contribution of the quantization error to SNRdb
SNRdb= 6.02nb + 1.76 dB
nb: bits per sample (related to the number of level L)
48. 4.48
A telephone subscriber line must have an SNRdB above
40. What is the minimum number of bits per sample?
Solution
We can calculate the number of bits as
Example
Telephone companies usually assign 7 or 8 bits per
sample.
50. 4.50
We have a low-pass analog signal of 4 kHz. If we send the
analog signal, we need a channel with a minimum
bandwidth of 4 kHz. If we digitize the signal and send 8
bits per sample, we need a channel with a minimum
bandwidth of 8 × 4 kHz = 32 kHz.
The minimum bandwidth of the digital signal is nb
times greater than the bandwidth of the analog
signal.
Bmin= nb x Banalog
51. 4.51
DM (delta modulation) finds the change from the
previous sample
Next bit is 1, if amplitude of the analog signal is larger
Next bit is 0, if amplitude of the analog signal is smaller
54. 4.54
4-3 TRANSMISSION MODES4-3 TRANSMISSION MODES
1. The transmission of binary data across a link can1. The transmission of binary data across a link can
be accomplished in either parallel or serial mode.be accomplished in either parallel or serial mode.
2. In parallel mode, multiple bits are sent with each2. In parallel mode, multiple bits are sent with each
clock tick.clock tick.
3. In serial mode, 1 bit is sent with each clock tick.3. In serial mode, 1 bit is sent with each clock tick.
4. there are three subclasses of serial transmission:4. there are three subclasses of serial transmission:
asynchronous, synchronous, and isochronous.asynchronous, synchronous, and isochronous.
58. 4.58
Asynchronous transmission
1. We send 1 start bit (0) at the beginning and 1 or more stop bits
(1s) at the end of each byte.
2. There may be a gap between each byte.
3. Extra bits and gaps are used to alert the receiver, and allow it to
synchronize with the data stream.
4. Asynchronous here means “asynchronous at the byte level,”
but the bits are still synchronized, their durations are the same.
59. 4.59
Synchronous transmission
In synchronous transmission, we send bits one after
another without start or stop bits or gaps. It is the
responsibility of the receiver to group the bits.