Digital Communications A Discrete-Time Approach

ISBN-10: 0130304972
ISBN-13: 9780130304971
Edition: 2009
Authors: Michael Rice
List price: $210.80 Buy it from $21.56
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Description: This text uses the principles of discrete-time signal processing to introduce and analyze digital communications connecting continuous-time and discrete-time ideas. The text brings under one cover the theoretical and practical issues from  More...

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Book details

List price: $210.80
Copyright year: 2009
Publisher: Prentice Hall PTR
Publication date: 4/11/2008
Binding: Paperback
Pages: 800
Size: 9.75" wide x 7.50" long x 1.50" tall
Weight: 2.948
Language: English

This text uses the principles of discrete-time signal processing to introduce and analyze digital communications connecting continuous-time and discrete-time ideas. The text brings under one cover the theoretical and practical issues from discrete-time signal processing, discrete-time filter design, multi-rate discrete-time processing, estimation theory, signal space analysis, numerical algorithms all focused on digital communications. A useful reference for programmers. nbsp;

Introduction
A brief History of Communications
Basics of Wireless Communications
Digital Communications
Why Discrete-Time Processing is so Popular
Organization of the Text
Notes and References
Signals and Systems 1: A Review of the Basics
Introduction
Signals
Continuous-Time Signals
Discrete-Time Signals
Systems
Continuous-Time Systems
Discrete- Time Systems
Frequency Domain Characterization
Laplace Transform
Continuous-Time Fourier Transform
Z Transform
Discrete-Time Fourier Transform
The Discrete Fourier Transform
The Relationship Between Discrete-Time and Continuous-Time Systems
The Sampling Theorem
Discrete-Time Processing of Continuous-Time Signals
Discrete-Time Processing of Bandpass Signals
Notes and References
Exercises
Signals and Systems 2: Some Useful Discrete-Time Techniques for Digital Communications
Introduction
Multirate
Impulse Train Sampling
Downsampling
Upsampling
The Noble Identities
Polyphase Filterbanks
Discrete-Time Filters Design Methods
IIR Filter Design
FIR Filter Design
Two Important Filters: The Differentiator and the Intergrator
Notes and References
Exercises
A Review of Probability Theory
Basic Definitions
Gaussian Random Variables
Density and Distribution Functions
Product Moments
Bivariate Gaussian Distribution
Functions of Random Variables
Multivariate Gaussian Random Variables
Random Sequences
Power Spectral Density
Random Sequences and Discrete-Time LTI Systems
Additive White Gaussian Noise
Continuous Time Random Processes
The White Gaussian Random Process: A Good Model For Noise
White Gaussian Noise in a sampled data System
Notes and References
Exercises
Linear Modulation 1: Demodulation, and Detection
Signal Spaces
Definitions
The Synthesis Equation and Linear Modulation
The Analysis Equation and Detection
The matched Filter
M-ary Baseband Pulse Amplitude Modulation (PAM)
Continuous-Time Realization
Discrete-Time Realization
M-ary Quadrature Amplitude Modulation (MQAM)
Continuous-Time Realization
Discrete-Time Realization
Offset QPSK
Multicarrier
Maximum Likelihood detection
Introduction
Preliminaries
Maximum Likelihood Decision Rule
Notes and References
Exercises
Linear Modulation 2: Performance
Performance of PAM
Bandwidth
Probability of Error
Performance of QAM
Bandwidth
Probability of Error
Comparisons
Link Budgets
Received Power and The Friis equation
Equivalent Noise Temperature and Noise Figure
The Link Budget Equation
Projection White Noise Onto An Orthonormal Basis Set
Notes and References
Exercises
Carrier Phase Synchronization
Basics Problem Formulation
Carrier Phase Synchronization for QPSK
A Heuristic Phase Error Det

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