Communication SystemsThis best-selling, easy-to-read, communication systems text has been extensively revised to include the most exhaustive treatment of digital communications in an undergraduate level text. In addition to being the most up-to-date communications text available, Simon Haykin has added MATLAB computer experiments. |
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Contents
BACKGROUND AND PREVIEW | 1 |
Random Processes | 31 |
ContinuousWave Modulation | 88 |
Copyright | |
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algorithm amplitude antenna assume autocorrelation function average probability AWGN band-pass filter bandwidth baseband binary PSK block diagram carrier frequency carrier wave channel bandwidth channel noise channel output Chapter code word communication system constellation convolutional convolutional code corresponding decoding defined demodulation denote dibit DSB-SC encoder entropy envelope detector equal Equation filter output FM signal follows Fourier transform frequency f frequency response Hence IEEE impulse response intersymbol interference linear low-pass filter matched filter matrix message points modulated signal multiplexing noise n(t parameter parity-check passband phase PN sequence polynomial power spectral density probability density function probability of error probability of symbol process X(t pulse QPSK quadrature components quantizer random process random variable received signal represented result s₁(t sample shown in Figure sideband signal s(t signal-to-noise ratio sinusoidal spectrum symbol error synchronization theorem transmission transmitted signal turbo codes vector waveform