Communication Systems: An Introduction to Signals and Noise in Electrical Communication
This text, like its previous editions, is an introduction to communication systems written at a level appropriate for advanced undergraduates and first-year graduate students in electrical engineering. An initial study of signal transmission and the inherent limitations of physical systems establishes unifying concepts of communication. Equal attention is then given to the analysis and design of analog and digital communication systems. Mathematical techniques and models necessarily play an important role throughout the book, but always in the engineering context as the means to an end. Numerous applications have been incorporated for their practical significance and as illustrations of concepts and design strategies. Hardware considerations are also included to stimulate interest and to bring out connections with other branches of electrical engineering. The coverage of digital communication has been substantially increased in this edition, especially in the areas of spectral analysis, error-control coding, and carrier modulation. Other topics given expanded treatment are: filtering, random analysis, multiplexing, synchronization, coded pulse modulation, optimum detection, and information theory. New topics include: FM distortion, phase-lock loops, spread spectrum, predictive coding, discrete Fourier transforms, and hardware implementation using digital circuits.
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Signal Transmission and Filtering
Probability and Random Variables
Random Signals and Noise
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Communication Systems: An Introduction to Signals and Noise in Electrical ...
A. Bruce Carlson
No preview available - 1986
amplifier amplitude analog analysis approximation bandpass bandwidth baseband binary calculate carrier frequency channel circuit codeword communication system components constant convolution corresponding CW modulation decoding defined demodulated detection deviation ratio diagram distortion encoder energy envelope detector equals Equation error probability Example expression Figure Find Fourier transform frequency-domain gaussian Hence Hilbert transform ideal impulse response integration linear lowpass filter M-ary message band message bits modulating signal multiplexing noise power nonlinear obtain phasor power spectrum predetection Prob properties quadrature random signal random variable receiver rectangular pulse requires result sample Sect sequence sideband signal power signal-to-noise ratio sinusoid sketch spectral density subcarrier symbol synchronous synchronous detection theorem threshold tion tone modulation transfer function transmission bandwidth transmitted vector voltage wave waveform white noise xc(t yields zero