Digital & Analog Communication Systems

International Edition

AvLeon Couch

Häftad, Engelska, 2012

1 108 kr

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4 567 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2012-05-24
Mått:178 x 232 x 35 mm
Vikt:1 160 g
Format:Häftad
Språk:Engelska
Antal sidor:792
Upplaga:8
Förlag:Pearson Education
ISBN:9780273774211

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Innehållsförteckning

Preface List of Symbols Chapter 1. INTRODUCTION1—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—13 Study-Aid Examples Problems Chapter 2. SIGNALS AND SPECTRA2—1 Properties of Signals and Noise Physically Realizable WaveformsTime Average OperatorDC ValuePowerRMS Value and Normalized PowerEnergy and Power WaveformsDecibelPhasors2—2 Fourier Transform and Spectra DefinitionProperties of Fourier TransformsParseval’s Theorem and Energy Spectral DensityDirac Delta Function and Unit Step FunctionRectangular and Triangular PulsesConvolution2—3 Power Spectral Density and Autocorrelation Function Power Spectral DensityAutocorrelation Function2—4 Orthogonal Series Representation of Signals and Noise Orthogonal FunctionsOrthogonal Series2—5 Fourier Series Complex Fourier SeriesQuadrature Fourier SeriesPolar Fourier SeriesLine Spectra for Periodic WaveformsPower Spectral Density for Periodic Waveforms2—6 Review of Linear Systems Linear Time-Invariant SystemsImpulse ResponseTransfer FunctionDistortionless TransmissionDistortion of Audio, Video, and Data Signals2—7 Bandlimited Signals and Noise Bandlimited WaveformsSampling TheoremImpulse Sampling and Digital Signal Processing (DSP)Dimensionality Theorem2—8 Discrete Fourier Transform Using the DFT to Compute the Continuous Fourier TransformUsing the DFT to Compute the Fourier Series02—9 Bandwidth of Signals 2—10 Summary 2—11 Study-Aid Examples Problems Chapter 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 EncodingPractical PCM CircuitsBandwidth of PCM SignalsEffects of NoiseNonuniform Quantizing: _-Law and A-Law CompandingV.90 56-kb/s PCM Computer Modem3—4 Digital Signaling Vector RepresentationBandwidth EstimationBinary SignalingMultilevel Signaling3—5 Line Codes and Spectra Binary Line CodingPower Spectra for Binary Line CodesDifferential CodingEye PatternsRegenerative RepeatersBit SynchronizationPower Spectra for Multilevel Polar NRZ SignalsSpectral Efficiency3—6 Intersymbol Interference Nyquist’s First Method (Zero ISI)Raised Cosine-Rolloff Nyquist Filtering<