Introduction to Digital Communications

Front Cover
Pearson/Prentice Hall, 2005 - Technology & Engineering - 672 pages

This book provides an introduction to the basic concepts in digital communications for readers with little or no previous exposure to either digital or analog communications. The intent is to help learners develop a firm understanding of digital communication system engineering--and to enable them to conduct system-level design and analysis for digital communication systems of the future. As a result, the book emphasizes the basic principles of digital communications theory and techniques, rather than presenting specific technologies for implementation. Chapter topics include probability and random variables--review and notation, introduction to random processes, linear filtering of random processes, frequency-domain analysis of random processes in linear systems, baseband transmission of binary data, coherent communications, noncoherent communications, intersymbol interference, and spread-spectrum communication systems. For individuals preparing for a career in wireless communications system design.

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Page 181
... signal set is an antipodal signal set . A signal set { so , s } is an antipodal signal set and the two signals are said to be antipodal if s ( t ) = so ( t ) for all t . Many binary data transmission systems , both baseband and RF , employ ...
Page 212
... Antipodal Signals The minimax threshold for antipodal signals is especially simple , and so is the resulting expression for the minimax error probability . Recall that the defining property for antipodal signals is s1 ( t ) = -So ( t ) ...
Page 213
... signal - to - noise ratio for antipodal signals and the minimax threshold is SNR [ Mo ( To ) - μ1 ( To ) ] / 2σ = μo ( To ) / o . = The minimax error probability is therefore where P * = e.m Q ( μo ( To ) / o ) , Mo ( To ) = ( So * h ) ...

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Contents

Review and Notation
1
Introduction to Random Processes
22
Linear Filtering of Random Processes
68
Copyright

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Introduction to Digital Communications
Michael B. Pursley
No preview available - 2005

Common terms and phrases

amplitude antipodal signals autocorrelation function average probability b₁ bandpass bandwidth baseband Bayes binary ASK bit error BPSK channel chip waveform communication system continuous-time correlation receiver corresponds cos(w,t crosscorrelation crosscorrelation function decision regions decision rule decision statistic defined demodulation denote density function distribution function energy example expression Fourier transform frequency function given illustrated in Figure impulse response inphase input integral intersymbol interference interval linear filter linear system M-ary m-sequences matched filter minimax minimax threshold modulation noncoherent orthogonal signals output parameters phase angle probability of error QASK QPSK quadrature random process received signal rectangular pulse Reed-Solomon code result Rx(t s₁ sampling Section sent shown in Figure signal component signal set signal-to-noise ratio So(t spectral density spread-spectrum Suppose symbol error probability t₁ t₂ transmitted signal U₁ v(To V₁ variance vector waveform white Gaussian noise wide-sense stationary Y₁ zero

About the author (2005)

Michael B. Pursley joined Clemson University in 1992 as the Holcombe Professor of Electrical and Computer Engineering. He received the B.S. (with highest distinction) and M.S. degrees in electrical engineering from Purdue University and the Ph.D degree in electrical engineering from the University of Southern California. He has several years industrial experience, primarily with the Space and Communications Group of the Hughes Aircraft Company. He served on the faculty of the University of Illinois for nearly 20 years, he has held visiting positions at the California Institute of Technology and the University of California at Los Angeles, and he has served as a consultant in digital communications to several industrial and government organizations. Dr. Pursley was elected Fellow of the IEEE in 1982 and president of the IEEE Information Theory Society in 1983. He has held editorial and organization positions for several journals and conferences in information theory and communications. He received an IEEE Centennial Medal, an IEEE Millennium Medal, the IEEE Communications Society Ellersick Award, and the IEEE Military Communications Conference Award for Technical Achievement. His most recent award is the 2002 IEEE Communications Society Edwin Howard Armstrong Achievement Award. Dr. Pursley's current research interests include mobile wireless communication systems and networks, spread-spectrum communications, applications of error-control coding, and adaptive protocols for packet radio networks.

Bibliographic information

TitleIntroduction to Digital Communications
Electrical Engineering Series
AuthorMichael B. Pursley
Editionillustrated
PublisherPearson/Prentice Hall, 2005
ISBN0201184931, 9780201184938
Length672 pages
Subjects › 

Technology & Engineering / Electrical
Technology & Engineering / Telecommunications
  
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