## 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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Af-ary algorithm amplitude assume autocorrelation function average power average probability band-pass filter bandwidth baseband binary PSK carrier frequency carrier wave carrier-to-noise ratio channel code word coherent Consider convolution corresponding decoder defined demodulator denote discrete DSB-SC duobinary encoder envelope detector equal Figure filter output FM signal follows Fourier transform frequency fc illustrated in Fig impulse response in-phase input signal intersymbol interference linear low-pass filter m(nTs matched filter message signal m(t modulated signal modulated wave multiplexing narrow-band noise noise n(t noise power noncoherent Nyquist output signal-to-noise ratio PCM system phase phase-locked loop PN sequence polynomial power spectral density probability density function probability of symbol Problem process X(t pulse modulation quadrature components quantizer random process random variable received signal receiver output represented result shown in Fig sideband signal g(t signal-to-noise ratio sinusoidal spectrum symbol error transfer function transmitted signal vector waveform zero mean