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Digital and analog communication systems

Autor: Leon W Couch
Verlag: Upper Saddle River, N.J. : Pearson Prentice Hall, ©2007.
Ausgabe/Medienart   Gedrucktes Buch : Englisch : 7th edAlle Ausgaben und Medienarten anzeigen
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Dokumenttyp Buch
Alle Autoren: Leon W Couch
ISBN: 0131424920 9780131424920
OCLC-Nummer: 289011660
Beschreibung: xxvii, [752] p. : ill. ; 25 cm
Inhalt: 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 Modulation1-12 Preview 1-13 Study-Aid Examples Problems 2 SIGNALS AND SPECTRA 2-1 Properties of Signals and Noise Physically Realizable Waveforms Time Average Operator DC Value Power RMS Value and Normalized Power Energy and Power Waveforms Decibel Phasors2-2 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 Convolution2-3 Power Spectral Density and Autocorrelation Function Power Spectral Density Autocorrelation Function2-4 Orthogonal Series Representation of Signals and Noise Orthogonal Functions Orthogonal Series2-5 Fourier Series Complex Fourier Series Quadrature Fourier Series Polar Fourier Series Line Spectra for Periodic Waveforms Power Spectral Density for Periodic Waveforms2-6 Review of Linear Systems Linear Time-Invariant Systems Impulse Response Transfer Function Distortionless Transmission Distortion of Audio, Video, and Data Signals2-7 Bandlimited Signals and Noise Bandlimited Waveforms Sampling Theorem Impulse Sampling and Digital Signal Processing (DSP) Dimensionality Theorem2-8 Discrete Fourier Transform Using the DFT to Compute the Continuous Fourier Transform Using the DFT to Compute the Fourier Series2-9 Bandwidth of Signals 2-10 Summary 2-11 Study-Aid Examples Problems 3 BASEBAND PULSE AND DIGITAL SIGNALING 3-1 Introduction 3-2 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 Modem3-4 Digital Signaling Vector Representation Bandwidth Estimation Binary Signaling Multilevel Signaling3-5 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 Spectral Efficiency3-6 Intersymbol Interference Nyquist's First Method (Zero ISI) Raised Cosine-Rolloff Nyquist Filtering Nyquist's Second and Third Methods for Control of ISI3-7 Differential Pulse Code Modulation 3-8 Delta Modulation Granular Noise and Slope Overload Noise Adaptive Delta Modulation and Continuously Variable Slope Delta Modulation Speech Coding3-9 Time-Division Multiplexing Frame Synchronization Synchronous and Asynchronous Lines TDM Hierarchy The T1 PCM System3-10 Packet Transmission System3-11 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 Complex Envelope Representation of Bandpass Waveforms Definitions: Baseband, Bandpass, and Modulation Complex Envelope Representation4-2 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 Distortion4-6 Bandpass Sampling Theorem 4-7 Received Signal Plus Noise 4-8 Classification of Filters and Amplifiers Filters Amplifiers4-9 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 Detector4-14 Phase-Locked Loops and Frequency Synthesizers 4-15 Direct Digital Synthesis 4-16 Transmitters and Receivers Generalized Transmitters Generalized Receiver: The Superheterodyne Receiver Zero-IF Receivers Interference4-17 Software Radios 4-18 Summary 4-19 Study-Aid Examples Problems 5 AM, FM, AND DIGITAL MODULATED SYSTEMS 5-1 Amplitude Modulation 5-2 AM Broadcast Technical Standards Digital AM Broadcasting5-3 Double-Sideband Suppressed Carrier 5-4 Costas Loop and Squaring Loop 5-5 Asymmetric Sideband Signals Single Sideband Vestigial Sideband5-6 Phase Modulation and Frequency Modulation Representation of PM and FM signals Spectra of Angle-Modulated Signals Narrowband Angle Modulation Wideband Frequency Modulation Preemphasis and Deemphasis in Angle-Modulated Systems5-7 Frequency-Division Multiplexing and FM Stereo 5-8 FM Broadcast Technical Standards Digital FM Braodcasting5-9 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 Filtering 5-11 Minimum-Shift Keying (MSK) and GMSK 5-12 Orthogonal Frequency Division Multiplexing (OFDM) 5-13 Spread Spectrum Systems Direct Sequence Frequency Hopping SS Frequency Bands5-14 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 Processes6-2 Power Spectral Density Definition Wiener-Khintchine Theorem Properties of the PSD General Formula for the PSD of Digital Signals White Noise Processes Measurement of PSD6-3 Dc and Rms Values for Ergodic Random Processes 6-4 Linear Systems Input-Output Relationships6-5 Bandwidth Measures Equivalent Bandwidth Rms Bandwidth6-6 The Gaussian Random Process Properties of Gaussian Processes6-7 Bandpass Processes Bandpass Representations Properties of WSS Bandpass Processes Proofs of Some Properties6-8 Matched Filters General Results Results for White Noise Correlation Processing Transversal Matched Filter6-9 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 Reception7-2 Performance of Baseband Binary Systems Unipolar Signaling Polar Signaling Bipolar Signaling7-3 Coherent Detection of Bandpass Binary Signals On-Off Keying Binary-Phase-Shift Keying Frequency-Shift Keying7-4 Noncoherent Detection of Bandpass Binary Signals On-Off Keying Frequency-Shift Keying Differential Phase-Shift Keying7-5 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 Synchronization7-7 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 Deemphasis7-9 Comparison of Analog Signaling Systems Ideal System Performance7-10 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 Terminals8-3 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 Switched Telephone Networks 8-5 Satellite Communication Systems Digital and Analog Television Transmission Data and Telephone Signal Multiple Access Satellite Radio Broadcasting8-6 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) Systems8-9 Television Black-and-White Television MTS Stereo Sound Color Television Standards for TV and CATV Systems Digital TV (DTV)8-10 Cable Data Modems8-11 Wireless Data Networks Wi-Fi Wi-Max8-12 Summary 8-13 Study-Aid Examples Problems APPENDIX A MATHEMATICAL TECHNIQUES, IDENTITIES,AND TABLESA-1 Trigonometry and Complex Numbers Definitions Trigonometric IdentitiesA-2 Differential Calculus Definition Differentiation Rules Derivative TableA-3 Indeterminate Forms A-4 Integral Calculus Definition Integration TechniquesA-5 Integral Tables Indefinite Integrals Definite IntegralsA-6 Series Expansions Finite Series Infinite SeriesA-7 Hilbert Transform Pairs A-8 The Dirac Delta Function Properties of Dirac Delta FunctionA-9 Tabulation of Sa(x) (sin x)/x A-10 Tabulation 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 ProbabilitiesB-4 Random Variables B-5 Cumulative Distribution Functions and Probability Density Functions Properties of CDFs and PDFs Discrete and Continuous DistributionsB-6 Ensemble Average and Moments Ensemble Average MomentsB-7 Examples of Important Distributions Binomial Distribution Poisson Distribution Uniform Distribution Gaussian Distribution Sinusoidal DistributionB-8 Functional Transformations of Random Variables B-9 Multivariate Statistics Multivariate CDFs and PDFs Bivariate Statistics Gaussian Bivariate Distribution Multivariate Functional Transformation Central Limit Theorem Problems APPENDIX C USING MATLAB C-1 Quick Start for Running M-Files C-2 Programming in MATLAB REFERENCES INDEX
Verfasserangabe: Leon W. Couch, II.

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