Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 31-39)Adnan Zafar
The document discusses sampling and analog-to-digital conversion. It explains the sampling theorem, which states that a signal can be reconstructed perfectly from samples taken at a minimum rate of twice the signal's bandwidth. It describes how sampling a signal results in multiplying it by an impulse train. It also discusses practical considerations in signal reconstruction using non-ideal interpolation filters and equalizers. Realizing reconstruction filters in hardware is challenging due to the non-realizability of ideal filters. Aliasing can also occur if the signal is not perfectly band-limited and the sampling rate is below the Nyquist rate.
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 16-21)Adnan Zafar
Lecture No 16: https://youtu.be/22XDP-_UKbg
Lecture No 17: https://youtu.be/CikQYWnvKdU
Lecture No 18: https://youtu.be/eT9sDYN4U30
Lecture No 19: https://youtu.be/7-jw3w9snik
Lecture No 20: https://youtu.be/kLmVgGSmfLE
Lecture No 21: https://youtu.be/Mm445diiQpM
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 22-30)Adnan Zafar
Lecture No 22: https://youtu.be/z3gia8eHEOo
Lecture No 23: https://youtu.be/tFZuaZ4i89I
Lecture No 24: https://youtu.be/BIcjuUxb6aE
Lecture No 25: https://youtu.be/ZPvO4CubmME
Lecture No 26: https://youtu.be/CxUWW4Uh5Gk
Lecture No 27: https://youtu.be/OZ2TwSXkeVw
Lecture No 28: https://youtu.be/HGYXtSvisRY
Lecture No 29: https://youtu.be/W1ehHa0AUnk
Lecture No 30: https://youtu.be/q5gh3tQ7aLk
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 4-9)Adnan Zafar
Lecture No 4: https://youtu.be/E3QT55J9uWs
Lecture No 5: https://youtu.be/pb7GdbcLnI0
Lecture No 6: https://youtu.be/aFXr1ufTF7Q
Lecture No 7: https://youtu.be/1Yt6ZCKhcYg
Lecture No 8: https://youtu.be/I8UWw3DC19Y
Lecture No 9: https://youtu.be/zRKFi3dotEc
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 1-3)Adnan Zafar
This document provides an overview of a communication systems course. It introduces the instructor, textbook, learning outcomes, and assessment criteria. The contents will cover communication systems fundamentals including analog and digital messages, modulation and detection techniques, source and error coding, and a brief history of telecommunications. Students will learn about signals, channels, modulation schemes like AM and FM, and analyze different transmission methods.
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 10-15)Adnan Zafar
Lecture No 10: https://youtu.be/LIh9yo4rphU
Lecture No 11: https://youtu.be/rOpNHZiRxgg
Lecture No 12: https://youtu.be/sytUNcVKokY
Lecture No 13: https://youtu.be/YN0eAGYNWK4
Lecture No 14: https://youtu.be/OvCjohzmsPU
Lecture No 15: https://youtu.be/TBPeBhRoD90
This document provides an introduction to signals and systems. It begins by classifying different types of signals as continuous-time/discrete-time, analog/digital, deterministic/random, periodic/aperiodic, power/energy. It then discusses representations of signals in the time and frequency domains, including the Fourier series representation of periodic signals. Key concepts covered include the unit step, rectangular, triangular and sinc functions, as well as signal operations like time shifting, scaling and inversion. The document concludes by introducing Parseval's theorem relating the power of a signal to the power of its Fourier coefficients.
Pulse modulation techniques can encode an analog signal for transmission. This document discusses several techniques including:
- Pulse-amplitude modulation (PAM) which varies pulse amplitudes based on sample values of the message signal.
- Pulse code modulation (PCM) which assigns a binary code to each analog sample. PCM is commonly used in digital communications systems.
- Delta modulation which transmits one bit per sample indicating if the current sample is more positive or negative than the previous. It requires higher sampling rates than PCM for equal quality.
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 31-39)Adnan Zafar
The document discusses sampling and analog-to-digital conversion. It explains the sampling theorem, which states that a signal can be reconstructed perfectly from samples taken at a minimum rate of twice the signal's bandwidth. It describes how sampling a signal results in multiplying it by an impulse train. It also discusses practical considerations in signal reconstruction using non-ideal interpolation filters and equalizers. Realizing reconstruction filters in hardware is challenging due to the non-realizability of ideal filters. Aliasing can also occur if the signal is not perfectly band-limited and the sampling rate is below the Nyquist rate.
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 16-21)Adnan Zafar
Lecture No 16: https://youtu.be/22XDP-_UKbg
Lecture No 17: https://youtu.be/CikQYWnvKdU
Lecture No 18: https://youtu.be/eT9sDYN4U30
Lecture No 19: https://youtu.be/7-jw3w9snik
Lecture No 20: https://youtu.be/kLmVgGSmfLE
Lecture No 21: https://youtu.be/Mm445diiQpM
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 22-30)Adnan Zafar
Lecture No 22: https://youtu.be/z3gia8eHEOo
Lecture No 23: https://youtu.be/tFZuaZ4i89I
Lecture No 24: https://youtu.be/BIcjuUxb6aE
Lecture No 25: https://youtu.be/ZPvO4CubmME
Lecture No 26: https://youtu.be/CxUWW4Uh5Gk
Lecture No 27: https://youtu.be/OZ2TwSXkeVw
Lecture No 28: https://youtu.be/HGYXtSvisRY
Lecture No 29: https://youtu.be/W1ehHa0AUnk
Lecture No 30: https://youtu.be/q5gh3tQ7aLk
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 4-9)Adnan Zafar
Lecture No 4: https://youtu.be/E3QT55J9uWs
Lecture No 5: https://youtu.be/pb7GdbcLnI0
Lecture No 6: https://youtu.be/aFXr1ufTF7Q
Lecture No 7: https://youtu.be/1Yt6ZCKhcYg
Lecture No 8: https://youtu.be/I8UWw3DC19Y
Lecture No 9: https://youtu.be/zRKFi3dotEc
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 1-3)Adnan Zafar
This document provides an overview of a communication systems course. It introduces the instructor, textbook, learning outcomes, and assessment criteria. The contents will cover communication systems fundamentals including analog and digital messages, modulation and detection techniques, source and error coding, and a brief history of telecommunications. Students will learn about signals, channels, modulation schemes like AM and FM, and analyze different transmission methods.
Communication Systems_B.P. Lathi and Zhi Ding (Lecture No 10-15)Adnan Zafar
Lecture No 10: https://youtu.be/LIh9yo4rphU
Lecture No 11: https://youtu.be/rOpNHZiRxgg
Lecture No 12: https://youtu.be/sytUNcVKokY
Lecture No 13: https://youtu.be/YN0eAGYNWK4
Lecture No 14: https://youtu.be/OvCjohzmsPU
Lecture No 15: https://youtu.be/TBPeBhRoD90
This document provides an introduction to signals and systems. It begins by classifying different types of signals as continuous-time/discrete-time, analog/digital, deterministic/random, periodic/aperiodic, power/energy. It then discusses representations of signals in the time and frequency domains, including the Fourier series representation of periodic signals. Key concepts covered include the unit step, rectangular, triangular and sinc functions, as well as signal operations like time shifting, scaling and inversion. The document concludes by introducing Parseval's theorem relating the power of a signal to the power of its Fourier coefficients.
Pulse modulation techniques can encode an analog signal for transmission. This document discusses several techniques including:
- Pulse-amplitude modulation (PAM) which varies pulse amplitudes based on sample values of the message signal.
- Pulse code modulation (PCM) which assigns a binary code to each analog sample. PCM is commonly used in digital communications systems.
- Delta modulation which transmits one bit per sample indicating if the current sample is more positive or negative than the previous. It requires higher sampling rates than PCM for equal quality.
This document discusses the process of sampling in signal processing. It defines key terms like analog and digital signals, sampling frequency, and samples. It explains how sampling works by taking regular measurements of a continuous signal's amplitude over time. This converts it into a discrete-time signal. It discusses applications of sampling like audio sampling, where signals are typically sampled above 20 kHz. It also discusses video sampling rates and speech sampling rates. The document contains examples and diagrams to illustrate these concepts.
This document provides an overview of amplitude (linear) modulation techniques. It defines key concepts like modulation, baseband communication, and carrier communication. It then describes various amplitude modulation schemes including AM, DSB-SC, QAM, SSB, and VSB. Implementation and demodulation of these techniques is discussed. The document also covers frequency mixing, superheterodyne receivers, frequency division multiplexing, and carrier acquisition using phase-locked loops. Suggested problems are provided at the end.
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and SystemsAmr E. Mohamed
The document discusses discrete-time signals and systems. It defines discrete-time signals as sequences represented by x[n] and discusses important sequences like the unit sample, unit step, and periodic sequences. It then defines discrete-time systems as devices that take a discrete-time signal x(n) as input and produce another discrete-time signal y(n) as output. The document classifies systems as static vs. dynamic, time-invariant vs. time-varying, linear vs. nonlinear, and causal vs. noncausal. It provides examples to illustrate each classification.
This document discusses signals and systems from an introductory perspective. It defines a signal as a function that conveys information about a physical phenomenon, and can be one-dimensional or two-dimensional. A system is defined as an entity that manipulates signals to produce new signals. Application areas of signals and systems are discussed, including control, communications, and signal processing. Key concepts like continuous and discrete time signals, even and odd signals, periodic and non-periodic signals, and deterministic and random signals are introduced.
Synchronization is critical for communication systems with coherent receivers. There are three main types of synchronization: carrier synchronization, symbol/bit synchronization, and frame synchronization. Carrier synchronization compensates for frequency and phase differences between the received and local carrier waves. Symbol/bit synchronization samples the received signal at the symbol rate. Frame synchronization detects the start/stop times of data frames. Phase-locked loops (PLLs) are commonly used for carrier and symbol synchronization. There are various techniques for carrier synchronization extraction, including pilot tone insertion and direct extraction methods like square law detection and Costas loops. Barker codes and pseudo-random codes can provide frame alignment signals.
Generation of SSB and DSB_SC ModulationJoy Debnath
The document discusses two methods of single sideband (SSB) modulation and balanced modulator modulation. It explains that SSB modulation eliminates one sideband from an amplitude modulated wave. It then describes the balanced modulator method, which uses two balanced modulators and a 90 degree phase shift to cancel out one sideband. The document also provides a brief overview of double sideband suppressed carrier (DSB-SC) modulation and notes that it uses two methods: multiplier modulation and balanced modulator.
The document discusses sampling theory and analog-to-digital conversion. It begins by explaining that most real-world signals are analog but must be converted to digital for processing. There are three steps: sampling, quantization, and coding. Sampling converts a continuous-time signal to a discrete-time signal by taking samples at regular intervals. The sampling theorem states that the sampling frequency must be at least twice the highest frequency of the sampled signal to avoid aliasing. Finally, it provides an example showing how to calculate the minimum sampling rate, or Nyquist rate, given the highest frequency of a signal.
This presentation covers noise performance of Continuous wave modulation systems; It explains modelling of white noise , noise figure of DSB-SC, SSB, AM, FM system
Single Sideband Suppressed Carrier (SSB-SC)Ridwanul Hoque
Single-sideband suppressed carrier (SSB-SC) modulation improves spectral efficiency by transmitting only one sideband. It requires a bandwidth equal to the signal bandwidth. SSB-SC can be detected coherently using multiplication by the carrier. Quadrature amplitude modulation (QAM) transmits two baseband signals over the same bandwidth using in-phase and quadrature carriers that are 90 degrees out of phase. Vestigial sideband (VSB) modulation is a compromise between DSB and SSB that inherits advantages of both while requiring only slightly greater bandwidth than SSB. It is used for broadcast television transmission.
This document discusses channel equalization techniques for digital communication systems. It describes four main threats in digital communication channels: inter-symbol interference, multipath propagation, co-channel interference, and noise. It then explains various linear equalization techniques like LMS and NLMS adaptive filters that can be used to mitigate inter-symbol interference. Finally, it discusses the need for non-linear equalizers and how multilayer perceptron neural networks can be used for non-linear channel equalization.
EC 8395 - Communication Engineering - Unit 3 m - ary signalingKannanKrishnana
This document discusses M-ary digital modulation techniques. It begins by defining M-ary signaling as a technique where multiple bits are transmitted simultaneously using a single signal, instead of transmitting one bit at a time. It then provides the basic equation for calculating the number of possible conditions (M) based on the number of bits (N).
The document goes on to describe several common M-ary modulation techniques including M-ary PSK, M-ary QAM, and their basic principles and equations. It provides examples of 4-PSK, 8-PSK, 16-PSK, 8-QAM and 16-QAM, explaining their modulation/demodulation, constellations, and minimum bandwidth requirements. Finally, it compares several
Modulation is the process of putting information onto a high frequency carrier wave for transmission. The key reasons for modulation are:
- To allow for frequency division multiplexing and support multiple transmissions via a single channel.
- For practicality, as transmitting very low frequencies would require antennas with miles in wavelength.
There are different types of modulation including analogue modulation (AM, FM, PM), pulse modulation, and digital modulation. Amplitude modulation (AM) varies the amplitude of the carrier wave and produces sidebands at sums and differences of the carrier and modulating frequencies. Double sideband suppressed carrier (DSB-SC) modulation suppresses the carrier wave to improve power efficiency but requires a complex receiver for demodulation.
Introduction to Angle Modulation, Types of Angle Modulation, Frequency Modulation and Phase Modulation Introduction, Generation of FM, Detection of FM, Frequency stereo Multiplexing, Applications, Difference between FM and PM.
Angle modulation techniques such as frequency modulation (FM) and phase modulation (PM) were introduced. FM varies the carrier frequency according to the message signal, while PM varies the carrier phase. The chapter covered the concepts of instantaneous frequency, bandwidth of angle modulated signals, generation of FM signals through direct and indirect methods, and demodulation of FM signals using discriminators and phase-locked loops. Key advantages of FM over AM include improved noise immunity and resistance to interference at the cost of increased transmission bandwidth.
Optimum Receiver corrupted by AWGN ChannelAWANISHKUMAR84
Optimum Receiver corrupted by AWGN Channel
This topic is related to Advance Digital Communication Engineering. In this ppt, you will get all details explanations of the receiver how to get affected by white Noise.
The document discusses Fourier analysis techniques. It covers topics like line spectra and Fourier series, including periodic signals and average power. Key aspects covered include phasor representation of sinusoids, convergence conditions of Fourier series, and Parseval's power theorem relating signal power to Fourier coefficients.
This document contains lecture notes on signals and systems for a course at Chadalawada Ramanamma Engineering College. It includes:
1. An introduction to signals, systems, and some common elementary signals like the unit step, unit impulse, ramp, sinusoid, and exponential signals.
2. A classification of signals as continuous/discrete, deterministic/non-deterministic, even/odd, periodic/aperiodic, energy/power, and real/imaginary.
3. A discussion of basic operations on signals like amplitude scaling, addition, and subtraction.
1) The document discusses the capacity of wireless channels, including Shannon capacity, capacity in additive white Gaussian noise (AWGN) channels, and capacity of flat fading channels with different channel state information scenarios.
2) It describes the optimal power allocation strategy when the transmitter and receiver have channel state information, which is to allocate more power to better channel states using waterfilling.
3) For frequency-selective fading channels, capacity is achieved through waterfilling in frequency to allocate higher power to better subchannels subject to an overall power constraint.
Modulation
In the modulation process, some characteristic of a high-frequency carrier signal (bandpass), is changed according to the instantaneous amplitude of the information (baseband) signal.
This document provides an overview of a communication systems course taught by Ass. Prof. Ibrar Ullah. The course objectives are to develop basic concepts of communication systems using the textbook "Modern Digital And Analog Communication Systems". Students will be evaluated based on homework, tests, quizzes, and a final exam. Key topics covered include analog versus digital communication, modulation techniques, and the relationship between signal-to-noise ratio, channel bandwidth, and rate of communication.
This document provides an overview of the physical layer of the OSI model. It discusses various topics related to the physical layer, including:
- Data transmission methods like digital transmission, analog transmission, line coding, block coding, and sampling.
- Modulation techniques for analog signals like ASK, FSK, PSK.
- Types of networks for digital transmission like circuit switched networks, datagram networks, and virtual circuit networks.
- Key aspects of these networks like connection setup/teardown, addressing schemes, routing, delays.
The physical layer is responsible for bit-level delivery over various physical media through standards that define electrical specifications, radio interfaces, optical fiber specifications and more. It also performs
This document discusses the process of sampling in signal processing. It defines key terms like analog and digital signals, sampling frequency, and samples. It explains how sampling works by taking regular measurements of a continuous signal's amplitude over time. This converts it into a discrete-time signal. It discusses applications of sampling like audio sampling, where signals are typically sampled above 20 kHz. It also discusses video sampling rates and speech sampling rates. The document contains examples and diagrams to illustrate these concepts.
This document provides an overview of amplitude (linear) modulation techniques. It defines key concepts like modulation, baseband communication, and carrier communication. It then describes various amplitude modulation schemes including AM, DSB-SC, QAM, SSB, and VSB. Implementation and demodulation of these techniques is discussed. The document also covers frequency mixing, superheterodyne receivers, frequency division multiplexing, and carrier acquisition using phase-locked loops. Suggested problems are provided at the end.
DSP_2018_FOEHU - Lec 03 - Discrete-Time Signals and SystemsAmr E. Mohamed
The document discusses discrete-time signals and systems. It defines discrete-time signals as sequences represented by x[n] and discusses important sequences like the unit sample, unit step, and periodic sequences. It then defines discrete-time systems as devices that take a discrete-time signal x(n) as input and produce another discrete-time signal y(n) as output. The document classifies systems as static vs. dynamic, time-invariant vs. time-varying, linear vs. nonlinear, and causal vs. noncausal. It provides examples to illustrate each classification.
This document discusses signals and systems from an introductory perspective. It defines a signal as a function that conveys information about a physical phenomenon, and can be one-dimensional or two-dimensional. A system is defined as an entity that manipulates signals to produce new signals. Application areas of signals and systems are discussed, including control, communications, and signal processing. Key concepts like continuous and discrete time signals, even and odd signals, periodic and non-periodic signals, and deterministic and random signals are introduced.
Synchronization is critical for communication systems with coherent receivers. There are three main types of synchronization: carrier synchronization, symbol/bit synchronization, and frame synchronization. Carrier synchronization compensates for frequency and phase differences between the received and local carrier waves. Symbol/bit synchronization samples the received signal at the symbol rate. Frame synchronization detects the start/stop times of data frames. Phase-locked loops (PLLs) are commonly used for carrier and symbol synchronization. There are various techniques for carrier synchronization extraction, including pilot tone insertion and direct extraction methods like square law detection and Costas loops. Barker codes and pseudo-random codes can provide frame alignment signals.
Generation of SSB and DSB_SC ModulationJoy Debnath
The document discusses two methods of single sideband (SSB) modulation and balanced modulator modulation. It explains that SSB modulation eliminates one sideband from an amplitude modulated wave. It then describes the balanced modulator method, which uses two balanced modulators and a 90 degree phase shift to cancel out one sideband. The document also provides a brief overview of double sideband suppressed carrier (DSB-SC) modulation and notes that it uses two methods: multiplier modulation and balanced modulator.
The document discusses sampling theory and analog-to-digital conversion. It begins by explaining that most real-world signals are analog but must be converted to digital for processing. There are three steps: sampling, quantization, and coding. Sampling converts a continuous-time signal to a discrete-time signal by taking samples at regular intervals. The sampling theorem states that the sampling frequency must be at least twice the highest frequency of the sampled signal to avoid aliasing. Finally, it provides an example showing how to calculate the minimum sampling rate, or Nyquist rate, given the highest frequency of a signal.
This presentation covers noise performance of Continuous wave modulation systems; It explains modelling of white noise , noise figure of DSB-SC, SSB, AM, FM system
Single Sideband Suppressed Carrier (SSB-SC)Ridwanul Hoque
Single-sideband suppressed carrier (SSB-SC) modulation improves spectral efficiency by transmitting only one sideband. It requires a bandwidth equal to the signal bandwidth. SSB-SC can be detected coherently using multiplication by the carrier. Quadrature amplitude modulation (QAM) transmits two baseband signals over the same bandwidth using in-phase and quadrature carriers that are 90 degrees out of phase. Vestigial sideband (VSB) modulation is a compromise between DSB and SSB that inherits advantages of both while requiring only slightly greater bandwidth than SSB. It is used for broadcast television transmission.
This document discusses channel equalization techniques for digital communication systems. It describes four main threats in digital communication channels: inter-symbol interference, multipath propagation, co-channel interference, and noise. It then explains various linear equalization techniques like LMS and NLMS adaptive filters that can be used to mitigate inter-symbol interference. Finally, it discusses the need for non-linear equalizers and how multilayer perceptron neural networks can be used for non-linear channel equalization.
EC 8395 - Communication Engineering - Unit 3 m - ary signalingKannanKrishnana
This document discusses M-ary digital modulation techniques. It begins by defining M-ary signaling as a technique where multiple bits are transmitted simultaneously using a single signal, instead of transmitting one bit at a time. It then provides the basic equation for calculating the number of possible conditions (M) based on the number of bits (N).
The document goes on to describe several common M-ary modulation techniques including M-ary PSK, M-ary QAM, and their basic principles and equations. It provides examples of 4-PSK, 8-PSK, 16-PSK, 8-QAM and 16-QAM, explaining their modulation/demodulation, constellations, and minimum bandwidth requirements. Finally, it compares several
Modulation is the process of putting information onto a high frequency carrier wave for transmission. The key reasons for modulation are:
- To allow for frequency division multiplexing and support multiple transmissions via a single channel.
- For practicality, as transmitting very low frequencies would require antennas with miles in wavelength.
There are different types of modulation including analogue modulation (AM, FM, PM), pulse modulation, and digital modulation. Amplitude modulation (AM) varies the amplitude of the carrier wave and produces sidebands at sums and differences of the carrier and modulating frequencies. Double sideband suppressed carrier (DSB-SC) modulation suppresses the carrier wave to improve power efficiency but requires a complex receiver for demodulation.
Introduction to Angle Modulation, Types of Angle Modulation, Frequency Modulation and Phase Modulation Introduction, Generation of FM, Detection of FM, Frequency stereo Multiplexing, Applications, Difference between FM and PM.
Angle modulation techniques such as frequency modulation (FM) and phase modulation (PM) were introduced. FM varies the carrier frequency according to the message signal, while PM varies the carrier phase. The chapter covered the concepts of instantaneous frequency, bandwidth of angle modulated signals, generation of FM signals through direct and indirect methods, and demodulation of FM signals using discriminators and phase-locked loops. Key advantages of FM over AM include improved noise immunity and resistance to interference at the cost of increased transmission bandwidth.
Optimum Receiver corrupted by AWGN ChannelAWANISHKUMAR84
Optimum Receiver corrupted by AWGN Channel
This topic is related to Advance Digital Communication Engineering. In this ppt, you will get all details explanations of the receiver how to get affected by white Noise.
The document discusses Fourier analysis techniques. It covers topics like line spectra and Fourier series, including periodic signals and average power. Key aspects covered include phasor representation of sinusoids, convergence conditions of Fourier series, and Parseval's power theorem relating signal power to Fourier coefficients.
This document contains lecture notes on signals and systems for a course at Chadalawada Ramanamma Engineering College. It includes:
1. An introduction to signals, systems, and some common elementary signals like the unit step, unit impulse, ramp, sinusoid, and exponential signals.
2. A classification of signals as continuous/discrete, deterministic/non-deterministic, even/odd, periodic/aperiodic, energy/power, and real/imaginary.
3. A discussion of basic operations on signals like amplitude scaling, addition, and subtraction.
1) The document discusses the capacity of wireless channels, including Shannon capacity, capacity in additive white Gaussian noise (AWGN) channels, and capacity of flat fading channels with different channel state information scenarios.
2) It describes the optimal power allocation strategy when the transmitter and receiver have channel state information, which is to allocate more power to better channel states using waterfilling.
3) For frequency-selective fading channels, capacity is achieved through waterfilling in frequency to allocate higher power to better subchannels subject to an overall power constraint.
Modulation
In the modulation process, some characteristic of a high-frequency carrier signal (bandpass), is changed according to the instantaneous amplitude of the information (baseband) signal.
This document provides an overview of a communication systems course taught by Ass. Prof. Ibrar Ullah. The course objectives are to develop basic concepts of communication systems using the textbook "Modern Digital And Analog Communication Systems". Students will be evaluated based on homework, tests, quizzes, and a final exam. Key topics covered include analog versus digital communication, modulation techniques, and the relationship between signal-to-noise ratio, channel bandwidth, and rate of communication.
This document provides an overview of the physical layer of the OSI model. It discusses various topics related to the physical layer, including:
- Data transmission methods like digital transmission, analog transmission, line coding, block coding, and sampling.
- Modulation techniques for analog signals like ASK, FSK, PSK.
- Types of networks for digital transmission like circuit switched networks, datagram networks, and virtual circuit networks.
- Key aspects of these networks like connection setup/teardown, addressing schemes, routing, delays.
The physical layer is responsible for bit-level delivery over various physical media through standards that define electrical specifications, radio interfaces, optical fiber specifications and more. It also performs
This document provides an overview of the physical layer of the OSI model. It discusses various topics related to the physical layer, including:
- Data transmission methods like digital transmission, analog transmission, line coding, block coding, and sampling.
- Modulation techniques for analog signals like ASK, FSK, PSK.
- Types of networks for digital transmission like circuit switched networks, datagram networks, and virtual circuit networks.
- Key aspects of these networks like connection setup/teardown, addressing, routing, delays.
The physical layer is responsible for bit-level delivery over various physical media through standards that define electrical specifications, radio interfaces, optical fiber specifications and more. It also performs technical
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 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.
This document provides an overview of analog and digital data transmission and optical fibers. It discusses how analog signals carry data continuously while digital signals carry data in discrete pulses. It also explains the advantages of digital transmission such as noise immunity, multiplexing capability, and ability to detect errors. The document then describes how optical fibers transmit data using total internal reflection and their construction. It discusses the types of optical fibers and their properties. Finally, it outlines the advantages and applications of optical fibers, including their high bandwidth, low loss, immunity to interference, flexibility and secure transmission.
The document discusses various types of network components and transmission media. It provides details on:
1. Digital signals and how binary data is encoded into signal elements.
2. Several common encoding schemes for digital signals including unipolar, polar, and Manchester encoding.
3. Types of transmission media including guided media like twisted pair cable, coaxial cable, and fiber optic cable, and wireless media like radio waves, microwave signals, infrared light, and Bluetooth.
4. Key factors and tradeoffs in choosing different transmission media like cost, bandwidth capacity, attenuation levels, and vulnerability to electromagnetic interference.
UMTS uses WCDMA technology which allows all cells to reuse the same frequency band by differentiating users through the use of unique scrambling codes. It provides benefits like improved voice quality, higher data rates up to 384kbps, and new multimedia services. UMTS network architecture utilizes scrambling codes to distinguish between base stations and user equipment on the downlink and uplink respectively, enabling frequency reuse across all cells.
This document provides information about the EENG 360 Communication Systems I course, including the instructor, textbook, grading breakdown, prerequisites, and no-grade policy. It also lists the main chapter topics to be covered: introduction, signals and spectra, baseband pulse and digital signaling, band pass signaling principles and circuits, and modulation systems. The course aims to explain how communication systems work and cover topics like frequency allocation, propagation, MATLAB solutions, information measures, and coding performance.
This document provides information about the EENG 360 Communication Systems I course, including the instructor, textbook, grading breakdown, prerequisites, and no-grade policy. It also lists the main chapter topics to be covered: introduction, signals and spectra, baseband pulse and digital signaling, band pass signaling principles and circuits, and modulation systems. The course aims to explain how communication systems work and cover topics like frequency allocation, propagation, MATLAB solutions, information measures, and coding performance.
Digital communication systems use digital modulation techniques to convert analog messages into digital signals for transmission. The three main digital band-pass modulation techniques are amplitude-shift keying (ASK), phase-shift keying (PSK), and frequency-shift keying (FSK). These techniques modulate a carrier signal by varying the amplitude, phase, or frequency according to the digital message. Receivers can use coherent or noncoherent detection, with coherent detection providing better performance but requiring synchronization to the transmitter carrier phase. The bandwidth requirement and transmitted energy depend on modulation parameters like the bit duration and carrier frequency.
The attached narrated power point presentation attempts to explain the various digital communication techniques as applied to optical communications. The material will be useful for KTU final year B tech students who prepare for the subject EC 405, Optical Communications.
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.
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2. Contents
• Digital Communication Systems
• Line Coding
• Digital Receivers and Regenerative Repeaters
308201- Communication Systems 2
3. Digital Communication Systems
• Digital Communication is a mode of communication where
the information is encoded digitally as discrete signals and
electronically transferred to the recipient.
• Digital Communication covers a broad area of
communications techniques including
– Digital Transmission
– Digital Radio
• Digital transmission is the transmission of digital pulses
between two or more points in a communication system.
• Digital Radio is the transmission of digital modulated analog
carriers between two or more points in a communication
system.
308201- Communication Systems 3
4. Digital Communication Systems
• A digital communication system consist of several
components
• The source of information can be analog or digital.
– Analog: Audio, Video Signals etc.
– Digital: Computer, Fax etc.
• The signal produced by the source is converted into digital
signals consisting of 1s and 0s.
– Source Encoding
308201- Communication Systems 4
5. Digital Communication Systems
(Channel Encoder)
• After source coding, the information sequence is passed
through the channel encoder.
– It adds redundancy in the binary information that can be
used at the receiver to overcome the effects of noise and
interference encountered during the transmission through
the channel.
– 𝑘 bits of information sequence is mapped into unique 𝑛
bits sequence called the code word.
– The amount of redundancy introduced is measured by
ratio 𝑛/𝑘. Its reciprocal i.e., 𝑘/𝑛 is known as the code rate.
308201- Communication Systems 5
6. Digital Communication Systems
(Digital Modulator & Demodulator)
• The binary sequence is then passed to digital modulator
which in turns convert the sequence into electrical signals to
be transmitted on the channel.
• The digital modulator maps the binary sequences into signal
waveform.
– e.g., represent 1 by sin 𝑥 and 0 by cos 𝑥
• The signal waveform is the passed though the channel.
– The communication channel is the physical medium that is used for
transmitting signals from transmitter to receiver.
• The digital demodulator processes the channel corrupted
transmitted waveform and reduces the waveform to the
sequence of numbers that represents estimates of the
transmitted data symbols.
308201- Communication Systems 6
7. Digital Communication Systems
(Channel)
• The modulation and coding used in a digital communication
system depends on the characteristics of the channel.
• Characteristics are whether the channel is linear or nonlinear,
and how free the channel is free from the external
interference.
• Five channels are considered in the digital communication i.e.,
– Telephone channels
– Coaxial cable
– Optical fiber
– Microwave radio and satellite channels.
308201- Communication Systems 7
8. Digital Communication Systems
(Channel Decoder & Source Decoder)
• The sequence of numbers then passed through the channel
decoder.
– The channel decoder attempts to reconstruct the original information
sequence form the knowledge of the code used by the channel
encoder and the redundancy contained in the received data.
– The average probability of a bit error at the output of the decoder is a
measure of the performance of the demodulator-decoder
combination.
• Source decoder tries to reduce the sequence from the
knowledge of the encoding algorithm.
– The approximate replica of the input signal at the transmitter side.
• Finally we get the desired signal in the desired format i.e.,
analog or digital using an output transducer.
308201- Communication Systems 8
9. Digital Communication Systems
(Signal Degradation)
• In digital communication, the main factors of
degradation of signal are
– Loss in signal to noise ratio (S/N)
• Decrease of desired signal power
• Increase of noise power
– Signal distortion caused by ISI
• The received pulses overlap one another; the tail of one pulse smears
into the adjacent symbol interval causing the loss of data in digital
communication.
– Distance
• As the distance is increased, there is a greater chance of signal
distortion.
• When the distance is large we use repeaters to amplify the signal
– Problem?
– The repeaters also amplify the noise.
308201- Communication Systems 9
10. Digital Communication Systems
Digital Communication System Analog Communication System
Advantages:
• Inexpensive digital circuits
• Privacy preserved (data encryption)
• Can merge different data and transmit
over a common digital transmission
system
• Error correction by coding
Disadvantages:
• Expensive analog components
• No privacy
• Cannot merge data from different
sources
• No error correction capability
Disadvantages:
• Large bandwidth
• Synchronization problem is relatively
difficult
Advantages:
• Smaller bandwidth
• Synchronization problem is relatively
easier
308201- Communication Systems 10
11. Line Coding
• The output of the source encoder is converted into electrical pulses
(waveforms) for the purpose of transmission over the channel.
– Line Coding or Transmission Coding
• The simplest line code is on/off or unipolar,
– binary 1 is transmitted by a pulse 𝑝(𝑡) and 0 is transmitted by no pulse.
• Another commonly used code is polar,
– 1 is transmitted by pulse 𝑝(𝑡) and 0 is transmitted by pulse – 𝑝(𝑡)
• Another popular code is bipolar or alternate mark inversion
– 0 is encoded by no pulse and 1 is encoded by 𝑝(𝑡) or −𝑝(𝑡) depending on
whether the previous 1 is encoded by – 𝑝(𝑡) or 𝑝(𝑡).
308201- Communication Systems 11
12. Unipolar Signalling
Non-Return to Zero (NRZ)
• Duration of the MARK pulse (𝜏) is equal to the duration (𝑇0) of the
symbol slot
• Advantages:
– Simplicity in implementation
– Doesn’t require a lot of bandwidth for transmission
• Disadvantages:
– Presence of DC level (indicated by spectral line at 0Hz)
– Contains low frequency components
– Does not have error correction capability
– Long strings of zeros can cause loss of synchronization i.e., not transparent
308201- Communication Systems 12
13. Unipolar Signalling
Return to Zero (RZ)
• MARK pulse (𝜏) is less than the duration (𝑇0) of the symbol slot.
• Fills only the first half of the time slot, returning to zero for the
second half.
• Advantages:
– Simplicity in implementation
– Presence of a spectral line at symbol rate which can be used as symbol
timing clock signal
• Disadvantages:
– Same as Unipolar NRZ case discussed earlier
– Occupies twice as much bandwidth as Unipolar NRZ
– Not transparent
308201- Communication Systems 13
14. Polar Signalling
Non-Return to Zero (NRZ)
• A binary 1 is represented by a pulse 𝑝(𝑡) and binary 0 is
represented by opposite pulse i.e., −𝑝(𝑡)
• Advantages:
– Simplicity in implementation
– No DC component
• Disadvantages:
– Does not have error correction capability
– Does not posses any clocking component for ease of synchronization
• Not transparent
308201- Communication Systems 14
15. Polar Signalling
Return to Zero (RZ)
• A binary 1 is represented by pulse 𝑝(𝑡) and a binary 0 is represented by an
opposite pulse – 𝑝(𝑡)
• Fills only the first half of the time slot, returning to zero for the second
half.
• Advantages:
– Same as polar NRZ
– Presence of a spectral line at symbol rate which can be used as symbol timing clock
signal
• Disadvantages:
– Same as polar NRZ
– Occupies twice as much bandwidth as polar NRZ
308201- Communication Systems 15
16. Bipolar Signalling
• 0 is represented by absence of pulse while 1 is represented by alternating
voltage levels of +V and –V
• Bipolar NRZ
• Bipolar RZ
• Advantages:
– No DC component
– Occupies less bandwidth than unipolar and polar NRZ schemes
– Posses single error detection capability
• Disadvantages:
– Does not posses any clocking component for ease of synchronization
• Not transparent
308201- Communication Systems 16
17. • The duration of the bit is divided into two halves
– 1 is +ve in 1st half and –ve in the 2nd half
– 0 is –ve in 1st half and +ve in the 2nd half
• Advantages:
– No DC component
– Easy to synchronize
• Transparent
• Disadvantages:
– Because of greater number of transitions it occupies a significantly large bandwidth
– Does not have error detection capability
Manchester Signalling
308201- Communication Systems 17
18. Digital Receivers and
Regenerative Repeaters
• Regenerative repeaters are used at regular intervals along a digital
transmission line to detect the incoming digital signal and regenerate new
“clean” pulse for further transmission along the line.
• A receiver or a regenerative repeater performs three functions
– Reshaping incoming pulse using an equalizer
– Extract the timing information required to sample incoming pulses at
optimum instances
– Making symbol detection decisions based on the pulse samples
308201- Communication Systems 18
19. Equalizer
• A pulse train is attenuated and distorted by the transmission
medium.
– The attenuation is compensated by pre-amplifier
– The distortion is compensated by the equalizer
• Channel distortion is a form of dispersion, caused by an
attenuation of certain critical frequency components of the
data pulse train.
• An equalizer should have a frequency characteristic that is
inverse of that of the transmission medium.
– This will restore the critical frequency components and eliminate the
pulse dispersion
– Unfortunately it will also boost the critical frequency components of
the channel noise as well, known as noise amplification
308201- Communication Systems 19
20. Timing Extraction
• The received digital signals need to be sampled at the precise
instants.
– This requires a clock signal at the receiver in synchronism with the
clock signal at the transmitter (symbol or bit synchronization),
delayed by the channel response.
• There are three methods of synchronization
1) Derivation from a primary or a secondary standard (e.g., transmitter
and receivers slaved to a master timing source)
2) Transmitting a separate synchronizing signal (pilot clock)
3) Self synchronization, where the timing information is extracted from
the received signal itself.
308201- Communication Systems 20
21. Timing Extraction
• Because of its high cost, the first method is suitable for large
volumes of data and high speed communication systems.
• The second method in which part of channel capacity is used
to transmit the timing information, is suitable when the
available capacity is large in comparison to the data rate
• The third method is very efficient method of timing extraction
or clock recovery because the timing is derived from the
received message signal itself.
308201- Communication Systems 21
22. Timing Extraction
(Self-Synchronization)
• If the pulses are transmitted at a rate of 𝑅𝑏 pulses per second,
we require the periodic timing information i.e., the clock at
𝑅𝑏 Hz to sample the incoming pulses at a repeater.
• The timing information can be extracted from the received
signal itself if the line code is chosen properly.
• For example, if a RZ polar signal is rectified, it results in a
periodic signal which contains the desired periodic timing
signal of frequency 𝑅𝑏 Hz .
• When this signal is applied to a resonant circuit tuned to
frequency 𝑅𝑏 Hz, the output, which is a sinusoid of frequency
𝑅𝑏 Hz can be used for timing.
308201- Communication Systems 22
23. Timing Extraction
(Self-Synchronization)
• A digital signal, such as on/off signal (a) can be expressed as a
sum of a random polar signal (b) and a clock frequency
periodic signal (c)
• Because of the presence of the periodic component, we can
extract the timing information from this signal using a
resonant circuit tuned to clock frequency.
308201- Communication Systems 23
24. Timing Extraction
(Self-Synchronization
• The timing signal (resonant circuit output) is sensitive to the
incoming bit pattern.
– In on/off or bipolar case, a 0 is transmitted by ‘no pulse’
– If there are too many 0s in a sequence, there is no signal at the input
of the resonant circuit and the sinusoidal output of the circuit starts
decaying causing error in timing information.
• A line code in which the bit pattern does not affect the
accuracy of the timing information is said to be a transparent
line code.
– The RZ polar scheme (each bit is transmitted by some pulse) is
transparent.
– The on/off and bipolar are non-transparent.
308201- Communication Systems 24