Communication SystemsAn in-depth examination regarding the principles of communication theory as applied to the transmission of information. Preserving its successful introduction of Fourier analysis, this edition has almost doubled the material on digital communication. Includes a new appendix on cryptography and uses computer experiments to illustrate important concepts. |
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amplitude applied assume autocorrelation function average band band-pass bandwidth binary block called carrier carrier frequency channel Chapter coherent communication compared complex component condition Consider consists corresponding defined demodulator denote described detection detector Determine diagram discussion distribution effect encoder envelope equal error event example express factor Figure filter FM signal follows Fourier transform frequency function Gaussian given Hence ideal illustrated important input integral interval limited linear loop mean message signal modulated signal modulation narrow-band noise Note observation obtained operation original output performance phase possible power spectral density probability Problem process X(t produced provides pulse quadrature quantizer random process random variable receiver referred relation represented respectively response result sample sequence shown in Fig shows sideband signal s(t sinusoidal spectrum symbol transmission transmitted vector wave zero