Picture 1 of 1

Stock photo

Digital Communications: Fundamentals and Applications (Communications Engineeri - Picture 1 of 1

Digital Communications : Fundamentals and Applications by Fredric Harris and Bernard Sklar (2020, Hardcover)

textbooks_source (42446)

99.6% positive feedback

Price:

$124.66

Free shipping

Estimated delivery Thu, Nov 20 - Tue, Nov 25

Returns:

30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

Publisher : Pearson.

About this product

Product Identifiers

PublisherPearson Education

ISBN-100134588568

ISBN-139780134588568

eBay Product ID (ePID)21038259472

Product Key Features

Number of Pages1136 Pages

LanguageEnglish

Publication NameDigital Communications : Fundamentals and Applications

Publication Year2020

SubjectTelecommunications

TypeTextbook

Subject AreaTechnology & Engineering

AuthorFredric Harris, Bernard Sklar

FormatHardcover

Dimensions

Item Height2.6 in

Item Weight69.8 Oz

Item Length9.4 in

Item Width7.5 in

Additional Product Features

Edition Number3

Intended AudienceScholarly & Professional

Dewey Edition21

IllustratedYes

Dewey Decimal621.382

Table Of ContentPreface xxiii Chapter 1 SIGNALS AND SPECTRA 1 1.1 Digital Communication Signal Processing 2 1.1.1 Why Digital? 2 1.1.2 Typical Block Diagram and Transformations 4 1.1.3 Basic Digital Communication Nomenclature 7 1.1.4 Digital Versus Analog Performance Criteria 9 1.2 Classification of Signals 10 1.2.1 Deterministic and Random Signals 10 1.2.2 Periodic and Nonperiodic Signals 10 1.2.3 Analog and Discrete Signals 10 1.2.4 Energy and Power Signals 11 1.2.5 The Unit Impulse Function 12 1.3 Spectral Density 13 1.3.1 Energy Spectral Density 13 1.3.2 Power Spectral Density 14 1.4 Autocorrelation 15 1.4.1 Autocorrelation of an Energy Signal 10 1.4.2 Autocorrelation of a Periodic (Power) Signal 16 1.5 Random Signals 17 1.5.1 Random Variables 17 1.5.2 Random Processes 19 1.5.3 Time Averaging and Ergodicity 21 1.5.4 Power Spectral Density and Autocorrelation of a Random Process 22 1.5.5 Noise in Communication Systems 27 1.6 Signal Transmission Through Linear Systems 30 1.6.1 Impulse Response 30 1.6.2 Frequency Transfer Function 31 1.6.3 Distortionless Transmission 32 1.6.4 Signals, Circuits, and Spectra 39 1.7 Bandwidth of Digital Data 41 1.7.1 Baseband Versus Bandpass 41' 1.7.2 The Bandwidth Dilemma 44 1.8 Conclusion 47 Chapter 2 FORMATTING AND BASEBAND MODULATION 53 2.1 Baseband Systems 54 2.2 Formatting Textual Data (Character Coding) 55 2.3 Messages, Characters, and Symbols 55 2.3.1 Example of Messages, Characters, and Symbols 56 2.4 Formatting Analog Information 57 2.4.1 The Sampling Theorem 57 2.4.2 Aliasing 64 2.4.3 Why Oversample? 67 2.4.4 Signal Interface for a Digital System 69 2.5 Sources of Corruption 70 2.5.1 Sampling and Quantizing Effects 71 2.5.2 Channel Effects 71 2.5.3 Signal-to-Noise Ratio for Quantized Pulses 72 2.6 Pulse Code Modulation 73 2.7 Uniform and Nonuniform Quantization 75 2.7.1 Statistics of Speech Amplitudes 75 2.7.2 Nonuniform Quantization 77 2.7.3 Companding Characteristics 77 2.8 Baseband Transmission 79 2.8.1 Waveform Representation of Binary Digits 79 2.8.2 PCM Waveform Types 80 2.8.3 Spectral Attributes of PCM Waveforms 83 2.8.4 Bits per PCM Word and Bits per Symbol 84 2.8.5 M-ary Pulse-Modulation Waveforms 86 2.9 Correlative Coding 88 2.9.1 Duobinary Signaling 88 2.9.2 Duobinary Decoding 89 2.9.3 Precoding 90 2.9.4 Duobinary Equivalent Transfer Function 91 2.9.5 Comparison of Binary and Duobinary Signaling 93 2.9.6 Polybinary Signaling 94 2.10 Conclusion 94 Chapter 3 BASEBAND DEMODULATION/DETECTION 99 3.1 Signals and Noise 100 3.1.1 Error-Performance Degradation in Communication Systems 100 3.1.2 Demodulation and Detection 101 3.1.3 A Vectorial View of Signals and Noise 105 3.1.4 The Basic SNR Parameter for Digital Communication Systems 112 3.1.5 Why Eb /N0 Is a Natural Figure of Merit 113 3.2 Detection of Binary Signals in Gaussian Noise 114 3.2.1 Maximum Likelihood Receiver Structure 114 3.2.2 The Matched Filter 117 3.2.3 Correlation Realization of the Matched Filter 119 3.2.4 Optimizing Error Performance 122 3.2.5 Error Probability Performance of Binary Signaling 126 3.3 Intersymbol Interference 130 3.3.1 Pulse Shaping to Reduce ISI 133 3.3.2 Two Types of Error-Performance Degradation 136 3.3.3 Demodulation/Detection of Shaped Pulses 140 3.4 Equalization 144 3.4.1 Channel Characterization 144 3.4.2 Eye Pattern 145 3.4.3 Equalizer Filter Types 146 3.4.4 Preset and Adaptive Equalization 152 3.4.5 Filter Update Rate 155 3.5 Conclusion 156 Chapter 4 BANDPASS MODULATION AND DEMODULATION/DETECTION 1 61 4.1 Why Modulate? 162 4.2 Digital Bandpass Modulation Techniques 162 4.2.1 Phasor Representation of a Sinusoid 163 4.2.2 Phase-Shift Keying 166 4.2.3 Frequency-Shift Keying 167 4.2.4 Amplitude Shift Keying 167 4.2.5 Amplitude-Phase Keying 168 4.2.6 Waveform Amplitude Coefficient 168 4.3 Detection of Signals in Gaussian Noise 169 4.3.1 Decision Regions 169 4.3.2 Correlation Receiver 170 4.4 Coherent Detection 175

SynopsisThis is a revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr. Bernard Sklar introduces every digital communication technology at the heart of today's wireless and Internet revolutions, providing a unified structure and context for understanding them -- all without sacrificing mathematical precision. Throughout, Sklar helps students understand the big picture and delve into the details of current modulation, coding, and signal processing techniques. He traces signals and key processing steps from the information source through transmitter, channel, receiver, and information sink. Digital Communications, Third Edition begins by introducing the fundamentals of signals, spectra, formatting, and baseband transmission. Next, Sklar presents practical coverage of trellis-coded modulation, Reed-Solomon codes, synchronization, spread spectrum solutions, and much more. Throughout, he offers numeric examples, step-by-step implementation guidance, and block diagrams that place key concepts and techniques in clear context. Coverage includes: Signals and spectra, including signal classification, spectral density, transmission, and bandwidth Formatting, baseband modulation, and baseband demodulation/detection Bandpass modulation and demodulation/detection Communications link analysis and system link budgets Channel coding: waveform, block, convolutional, and Reed-Solomon codes Advanced turbo coding and Low-Density Parity Check (LDPC) techniques Managing modulation and coding tradeoffs Receiver and network synchronization Multiplexing and multiple access Spread spectrum overview and techniques Source coding: amplitude quantizing, differential PCM, adaptive prediction, digital data, and more Fading channels: challenges, characterization, and mitigations The essentials of OFDM and MIMO technology Long Term Evolution (LTE) Wireless, Software Defined Radio, 5G, and other advances, With remarkable clarity, Drs. Bernard Sklar and fred harris introduce every digital communication technology at the heart of todays wireless and Internet revolutions, with completely new chapters on synchronisation, OFDM, and MIMO. Building on the fields classic, best-selling introduction, the authors provide a unified structure and context for helping students and professional engineers understand each technology, without sacrificing mathematical precision. They illuminate the big picture and details of modulation, coding, and signal processing, tracing signals and processing steps from information source through sink. Throughout, readers will find numeric examples, step-by-step implementation guidance, and diagrams that place key concepts in clear context. Understand signals, spectra, modulation, demodulation, detection, communication links, system link budgets, synchronisation, fading, and other key concepts Apply channel coding techniques, including advanced turbo coding and LDPC Explore multiplexing, multiple access, and spread spectrum concepts and techniques Learn about source coding: amplitude quantising, differential PCM, and adaptive prediction Discover the essentials and applications of synchronisation, OFDM, and MIMO technology, The Best-Selling Introduction to Digital Communications: Thoroughly Revised and Updated for OFDM, MIMO, LTE, and More With remarkable clarity, Drs. Bernard Sklar and fred harris introduce every digital communication technology at the heart of today's wireless and Internet revolutions, with completely new chapters on synchronization, OFDM, and MIMO. Building on the field's classic, best-selling introduction, the authors provide a unified structure and context for helping students and professional engineers understand each technology, without sacrificing mathematical precision. They illuminate the big picture and details of modulation, coding, and signal processing, tracing signals and processing steps from information source through sink. Throughout, readers will find numeric examples, step-by-step implementation guidance, and diagrams that place key concepts in clear context. Understand signals, spectra, modulation, demodulation, detection, communication links, system link budgets, synchronization, fading, and other key concepts Apply channel coding techniques, including advanced turbo coding and LDPC Explore multiplexing, multiple access, and spread spectrum concepts and techniques Learn about source coding: amplitude quantizing, differential PCM, and adaptive prediction Discover the essentials and applications of synchronization, OFDM, and MIMO technology More than ever, this is an ideal resource for practicing electrical engineers and students who want a practical, accessible introduction to modern digital communications. This Third Edition includes online access to additional examples and material on the book's website.

LC Classification NumberTK5103.7