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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algorithm amplitude modulation assume autocorrelation function average power average probability band-pass filter bandwidth baseband binary PSK block diagram carrier frequency carrier wave carrier-to-noise ratio code word coherent detection Consider convolutional corresponding decoding defined delta function demodulator denote described encoder envelope detector equal example Figure filter output FM signal follows Fourier transform frequency f frequency modulation Gaussian Hilbert transform impulse response input signal interval linear low-pass filter M-ary matched filter message signal m(t modulated wave multiplexing narrow-band noise n(t no(t oscillator output signal-to-noise ratio phase phase-locked loop polynomial power spectral density probability density function Problem Product modulator quadrature components quantizer random process X(t random variable received signal represented result sample function sequence shown in Fig sideband signal-to-noise ratio spectrum symbol error theorem transfer function transmission bandwidth transmitted signal vector waveform wide-sense stationary zero mean