For second and third year introductory communication systems courses for undergraduates, or an introductory graduate course. This revision of Couch s authoritative text provides the latest treatment of digital communication systems. The author balances coverage of both digital and analog communication systems, with an emphasis on design. Students will gain a working knowledge of both classical mathematical and personal computer methods to analyze, design, and simulate modern communication systems. MATLAB is integrated throughout.
For second and third year introductory communication systems courses for undergraduates, or an introductory graduate course.
This revision of Couch s authoritative text provides the latest treatment of digital communication systems. The author balances coverage of both digital and analog communication systems, with an emphasis on design. Students will gain a working knowledge of both classical mathematical and personal computer methods to analyze, design, and simulate modern communication systems. MATLAB is integrated throughout.
Preface List of Symbols Chapter 1. INTRODUCTION 11 Historical Perspective 12 Digital and Analog Sources and Systems 13 Deterministic and Random Waveforms 14 Organization of the Book 15 Use of a Personal Computer and MATLAB 16 Block Diagram of a Communication System 17 Frequency Allocations 18 Propagation of Electromagnetic Waves 19 Information Measure 110 Channel Capacity and Ideal Communication Systems 111 Coding Block Codes, Convolutional Codes, Code Interleaving, Code Performance, Trellis-Coded Modulation, 112 Preview 113 Study-Aid Examples Problems
Chapter 2. SIGNALS AND SPECTRA 21 Properties of Signals and Noise Physically Realizable Waveforms Time Average Operator DC Value Power RMS Value and Normalized Power Energy and Power Waveforms Decibel Phasors 22 Fourier Transform and Spectra Definition Properties of Fourier Transforms Parsevals Theorem and Energy Spectral Density Dirac Delta Function and Unit Step Function Rectangular and Triangular Pulses Convolution 23 Power Spectral Density and Autocorrelation Function Power Spectral Density Autocorrelation Function 24 Orthogonal Series Representation of Signals and Noise Orthogonal Functions Orthogonal Series 25 Fourier Series Complex Fourier Series Quadrature Fourier Series Polar Fourier Series Line Spectra for Periodic Waveforms Power Spectral Density for Periodic Waveforms 26 Review of Linear Systems Linear Time-Invariant Systems Impulse Response Transfer Function Distortionless Transmission Distortion of Audio, Video, and Data Signals 27 Bandlimited Signals and Noise Bandlimited Waveforms Sampling Theorem Impulse Sampling and Digital Signal Processing (DSP) Dimensionality Theorem 28 Discrete Fourier Transform Using the DFT to Compute the Continuous Fourier Transform Using the DFT to Compute the Fourier Series0 29 Bandwidth of Signals 210 Summary 211 Study-Aid Examples Problems Chapter 3 BASEBAND PULSE AND DIGITAL SIGNALING 31 Introduction 32 Pulse Amplitude Modulation Natural Sampling (Gating) Instantaneous Sampling (Flat-Top PAM) 33 Pulse Code Modulation Sampling, Quantizing, and Encoding Practical PCM Circuits Bandwidth of PCM Signals Effects of Noise Nonuniform Quantizing: _-Law and A-Law Companding V.90 56-kb/s PCM Computer Modem 34 Digital Signaling Vector Representation Bandwidth Estimation Binary Signaling Multilevel Signaling 35 Line Codes and Spectra Binary Line Coding Power Spectra for Binary Line Codes Differential Coding Eye Patterns Regenerative Repeaters Bit Synchronization Power Spectra for Multilevel Polar NRZ Signals Spectral Efficiency 36 Intersymbol Interference Nyquists First Method (Zero ISI) Raised Cosine-Rolloff Nyquist Filtering
Preface List of Symbols Chapter 1. INTRODUCTION 11 Historical Perspective 12 Digital and Analog Sources and Systems 13 Deterministic and Random Waveforms 14 Organization of the Book 15 Use of a Personal Computer and MATLAB 16 Block Diagram of a Communication System 17 Frequency Allocations 18 Propagation of Electromagnetic Waves 19 Information Measure 110 Channel Capacity and Ideal Communication Systems 111 Coding Block Codes, Convolutional Codes, Code Interleaving, Code Performance, Trellis-Coded Modulation, 112 Preview 113 Study-Aid Examples Problems
Chapter 2. SIGNALS AND SPECTRA 21 Properties of Signals and Noise Physically Realizable Waveforms Time Average Operator DC Value Power RMS Value and Normalized Power Energy and Power Waveforms Decibel Phasors 22 Fourier Transform and Spectra Definition Properties of Fourier Transforms Parsevals Theorem and Energy Spectral Density Dirac Delta Function and Unit Step Function Rectangular and Triangular Pulses Convolution 23 Power Spectral Density and Autocorrelation Function Power Spectral Density Autocorrelation Function 24 Orthogonal Series Representation of Signals and Noise Orthogonal Functions Orthogonal Series 25 Fourier Series Complex Fourier Series Quadrature Fourier Series Polar Fourier Series Line Spectra for Periodic Waveforms Power Spectral Density for Periodic Waveforms 26 Review of Linear Systems Linear Time-Invariant Systems Impulse Response Transfer Function Distortionless Transmission Distortion of Audio, Video, and Data Signals 27 Bandlimited Signals and Noise Bandlimited Waveforms Sampling Theorem Impulse Sampling and Digital Signal Processing (DSP) Dimensionality Theorem 28 Discrete Fourier Transform Using the DFT to Compute the Continuous Fourier Transform Using the DFT to Compute the Fourier Series0 29 Bandwidth of Signals 210 Summary 211 Study-Aid Examples Problems Chapter 3 BASEBAND PULSE AND DIGITAL SIGNALING 31 Introduction 32 Pulse Amplitude Modulation Natural Sampling (Gating) Instantaneous Sampling (Flat-Top PAM) 33 Pulse Code Modulation Sampling, Quantizing, and Encoding Practical PCM Circuits Bandwidth of PCM Signals Effects of Noise Nonuniform Quantizing: _-Law and A-Law Companding V.90 56-kb/s PCM Computer Modem 34 Digital Signaling Vector Representation Bandwidth Estimation Binary Signaling Multilevel Signaling 35 Line Codes and Spectra Binary Line Coding Power Spectra for Binary Line Codes Differential Coding Eye Patterns Regenerative Repeaters Bit Synchronization Power Spectra for Multilevel Polar NRZ Signals Spectral Efficiency 36 Intersymbol Interference Nyquists First Method (Zero ISI) Raised Cosine-Rolloff Nyquist Filtering
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