For junior- to senior-level 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. INDICE: LIST OF SYMBOLS 1 INTRODUCTION 1--1 Historical Perspective 1--2 Digital and Analog Sources and Systems 1--3 Deterministic and Random Waveforms 1--4 Organization of the Book 1--5 Use of a Personal Computer and MATLAB 1--6 Block Diagram of a Communication System 1--7 Frequency Allocations 1--8 Propagation of Electromagnetic Waves 1--9 Information Measure 1--10 Channel Capacity and Ideal Communication Systems 1--11 Coding Block Codes Convolutional Codes Code Interleaving Code Performance Trellis-Coded Modulation 1--12 Preview 1--13Study-Aid Examples Problems 2 SIGNALS AND SPECTRA 2--1 Properties of Signals and Noise Physically Realizable Waveforms Time Average Operator DC Value PowerRMS Value and Normalized Power Energy and Power Waveforms Decibel Phasors 2--2 Fourier Transform and Spectra Definition Properties of Fourier Transforms Parseval's Theorem and Energy Spectral Density Dirac Delta Function and Unit Step Function Rectangular and Triangular-Pulses Convolution 2--3 Power Spectral Density and Autocorrelation Function Power Spectral Density Autocorrelation Function 2--4 Orthogonal Series Representation of Signals and Noise Orthogonal Functions Orthogonal Series 2--5 Fourier Series Complex Fourier Series Quadrature Fourier Series Polar Fourier Series Line Spectra for Periodic Waveforms Power Spectral Density for Periodic Waveforms 2--6 Review of Linear Systems LinearTime-Invariant Systems Impulse Response Transfer Function Distortionless Transmission Distortion of Audio, Video, and Data Signals 2--7 Bandlimited Signalsand Noise Bandlimited Waveforms Sampling Theorem Impulse Sampling and DigitalSignal Processing (DSP) Dimensionality Theorem 2--8 Discrete Fourier Transform Using the DFT to Compute the Continuous Fourier Transform Using the DFT to Compute the Fourier Series 2--9 Bandwidth of Signals 2--10 Summary 2--11 Study-Aid Examples Problems 3 BASEBAND PULSE AND DIGITAL SIGNALING 3--1 Introduction3--2 Pulse Amplitude Modulation Natural Sampling (Gating) Instantaneous Sampling (Flat-Top PAM) 3--3 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 3--4 Digital Signaling Vector Representation Bandwidth Estimation Binary Signaling Multilevel Signaling 3--5 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 SpectralEfficiency 3--6 Intersymbol Interference Nyquist's First Method (Zero ISI) Raised Cosine-Rolloff Nyquist Filtering Nyquist's Second and Third Methods for Control of ISI 3--7 Differential Pulse Code Modulation 3--8 Delta Modulation Granular Noise and Slope Overload Noise Adaptive Delta Modulation and Continuously Variable Slope Delta Modulation Speech Coding 3--9 Time-Division Multiplexing Frame Synchronization Synchronous and Asynchronous Lines TDM Hierarchy The T1 PCM System 3--10 Packet Transmission System 3--11 Pulse Time Modulation: Pulse Width Modulation and Pulse Position Modulation 3--12 Summary 3--13 Study-Aid Examples Problems 4 BANDPASS SIGNALING PRINCIPLES AND CIRCUITS 4--1 ComplexEnvelope Representation of Bandpass Waveforms Definitions: Baseband, Bandpass, and Modulation Complex Envelope Representation 4--2 Representation of Modulated Signals 4--3 Spectrum of Bandpass Signals 4--4 Evaluation of Power 4--5 Bandpass Filtering and Linear Distortion Equivalent Low-Pass Filter Linear Distortion 4--6 Bandpass Sampling Theorem 4--7 Received Signal Plus Noise 4--8 Classification of Filters and Amplifiers Filters Amplifiers 4--9 Nonlinear Distortion 4--10 Limiters 4--11 Mixers, Up Converters, and Down Converters 4--12 Frequency Multipliers 4--13 Detector Circuits Envelope Detector Product Detector Frequency Modulation Detector 4--14 Phase-Locked Loops and Frequency Synthesizers 4--15 Direct Digital Synthesis 4--16 Transmitters and Receivers GeneralizedTransmitters Generalized Receiver: The Superheterodyne Receiver Zero-IF Receivers Interference 4--17 Software Radios 4--18 Summary 4--19 Study-Aid ExamplesProblems 5 AM, FM, AND DIGITAL MODULATED SYSTEMS 5--1 Amplitude Modulation 5--2 AM Broadcast Technical Standards Digital AM Broadcasting 5--3 Double-Sideband Suppressed Carrier 5--4 Costas Loop and Squaring Loop 5--5 Asymmetric Sideband Signals Single Sideband Vestigial Sideband 5--6 Phase Modulation and Frequency Modulation Representation of PM and FM signals Spectra of Angle-ModulatedSignals Narrowband Angle Modulation Wideband Frequency Modulation Preemphasisand Deemphasis in Angle-Modulated Systems 5--7 Frequency-Division Multiplexing and FM Stereo 5--8 FM Broadcast Technical Standards Digital FM Braodcasting 5--9 Binary Modulated Bandpass Signaling On-Off Keying (OOK) Binary-Phase-Shift Keying (BPSK) Differential Phase-Shift Keying (DPSK) Frequency-Shift Keying (FSK) 5--10 Multilevel Modulated Bandpass Signaling Quadrature Phase-Shift Keying (QPSK) and M-ary Phase-Shift Keying (MPSK) Quadrature Amplitude Modulation(QAM) OQPSK and /4 QPSK PSD for MPSK, QAM, QPSK, OQPSK and /4 QPSK Spectral Efficiency for MPSK, QAM, QPSK, OQPSK, and /4 QPSK with Raised Cosine Filtering5--11 Minimum-Shift Keying (MSK) and GMSK 5--12 Orthogonal Frequency DivisionMultiplexing (OFDM) 5--13 Spread Spectrum Systems Direct Sequence Frequency Hopping SS Frequency Bands 5--14 Summary 5--15 Study-Aid Examples Problems 6 RANDOM PROCESSES AND SPECTRAL ANALYSIS 6--1 Some Basic Definitions Random Processes Stationarity and Ergodicity Correlation Functions and Wide-Sense Stationarity Complex Random Processes 6--2 Power Spectral Density Definition Wiener-Khintchine Theorem Properties of the PSD General Formula for the PSD of Digital Signals White Noise Processes Measurement of PSD 6--3 Dc and Rms Values for Ergodic Random Processes 6--4 Linear Systems Input-Output Relationships 6--5 Bandwidth Measures Equivalent Bandwidth Rms Bandwidth 6--6 The Gaussian Random Process Properties of Gaussian Processes 6--7 Bandpass Processes Bandpass Representations Properties of WSS Bandpass Processes Proofs of Some Properties 6--8 Matched Filters General Results Results for White Noise Correlation Processing Transversal Matched Filter 6--9 Summary 6--10 Appendix: Proof of Schwarz's Inequality 6--11 Study-Aid Examples Problems 7 PERFORMANCE OF COMMUNICATION SYSTEMS CORRUPTED BY NOISE 7--1 Error Probabilities for Binary Signaling General Results Results for Gaussian Noise Results for White Gaussian Noise and Matched-Filter Reception Results for Colored Gaussian Noise and Matched-Filter Reception 7--2 Performance of Baseband Binary Systems Unipolar Signaling Polar Signaling Bipolar Signaling 7--3 Coherent Detection of Bandpass Binary Signals On-Off Keying Binary-Phase-Shift Keying Frequency-Shift Keying 7--4 Noncoherent Detection of Bandpass Binary Signals On-Off Keying Frequency-Shift Keying Differential Phase-Shift Keying 7--5 Quadrature Phase-Shift Keying and Minimum-Shift Keying 7--6 Comparison of Digital Signaling Systems Bit Error Rate and Bandwidth Symbol Error and Bit Error for Multilevel Signaling Synchronization 7--7 Output Signal-to-Noise Ratio for PCM Systems 7--8 Output Signal-to-Noise Ratios for Analog Systems Comparison with Baseband Systems AM Systems with Product Detection AM Systems with Envelope Detection DSB-SC Systems SSB Systems PM Systems FM Systems FM Systems with Threshold Extension FM Systems with Deemphasis 7--9 Comparison of Analog Signaling Systems Ideal System Performance 7--10 Summary 7--11 Study-Aid Examples Problems 8 WIRE AND WIRELESS COMMUNICATION SYSTEMS 8--1 The Explosive Growth of Telecommunications 8--2 Telephone Systems Historical Basis Modern Telephone Systems and Remote Terminals 8--3 Digital Subscriber Lines (DSL) G.DMT and G.Lite Digital Subscriber Lines Video On Demand (VOD) Integrated Service Digital Network (ISDN) 8--4 Capacities of Public SwitchedTelephone Networks 8--5 Satellite Communication Systems Digital and Analog Television Transmission Data and Telephone Signal Multiple Access Satellite Radio Broadcasting 8--6 Link Budget Analysis Signal Power Received Thermal Noise Sources Characterization of Noise Sources Noise Characterization of Linear Devices Noise Characterization of Cascaded Linear Devices Link Budget Evaluation Eb/N0 Link Budget for Digital Systems Path Loss for Urban Wireless Environments8--7 Fiber Optic Systems 8--8 Cellular Telephone Systems First Generation (1G)--The AMPS Analog System Second Generation (2G)--The Digital Systems The 1,900-MHz Band PCS Systems Status of 2G Networks Third Generation (3G) Systems 8--9 Television Black-and-White Television MTS Stereo Sound Color Television Standards for TV and CATV Systems Digital TV (DTV) 8--10 Cable Data Modems 8--11 Wireless Data Networks Wi-Fi Wi-Max 8--12 Summary 8--13 Study-Aid Examples Problems APPENDIX A MATHEMATICAL TECHNIQUES, IDENTITIES, AND TABLES A--1 Trigonometry and Complex Numbers Definitions Trigonometric Identities A--2 DifferentialCalculus Definition Differentiation Rules Derivative Table A--3 IndeterminateForms A--4 Integral Calculus Definition Integration Techniques A--5 Integral Tables Indefinite Integrals Definite Integrals A--6 Series Expansions Finite Series Infinite Series A--7 Hilbert Transform Pairs A--8 The Dirac Delta Function Properties of Dirac Delta Function A--9 Tabulation of Sa(x) (sin x)/x A--10Tabulation of Q(z ) APPENDIX B PROBABILITY AND RANDOM VARIABLES B--1 Introduction B--2 Sets B--3 Probability and Relative Frequency Simple Probability Joint Probability Conditional Probabilities B--4 Random Variables B--5 Cumulative Distribution Functions and Probability Density Functions Properties of CDFs and PDFs Discrete and Continuous Distributions B--6 Ensemble Average and MomentsEnsemble Average Moments B--7 Examples of Important Distributions Binomial Distribution Poisso
- ISBN: 978-0-13-203794-5
- Editorial: Pearson/Prentice Hall
- Encuadernacion: Rústica
- Páginas: 784
- Fecha Publicación: 20/08/2009
- Nº Volúmenes: 1
- Idioma: Inglés