Communication Systems |
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Page 328
... average power of the noise component n ' ( t ) or n ( t ) is W No / 2 . Therefore , from Eq . ( 6.21 ) , the average output noise power is W No / 4 . We thus find that the output signal - to - noise ratio of a system , using SSB ...
... average power of the noise component n ' ( t ) or n ( t ) is W No / 2 . Therefore , from Eq . ( 6.21 ) , the average output noise power is W No / 4 . We thus find that the output signal - to - noise ratio of a system , using SSB ...
Page 339
... average output noise power is determined by inte- grating the power spectral density SN ( f ) from -W to W. We thus get average power of output noise = = No A2 S W -W 2NOW 3 3A2 f2 df ( 6.58 ) Note that the average output noise power is ...
... average output noise power is determined by inte- grating the power spectral density SN ( f ) from -W to W. We thus get average power of output noise = = No A2 S W -W 2NOW 3 3A2 f2 df ( 6.58 ) Note that the average output noise power is ...
Page 434
... mean white Gaussian noise process , band - limited to BT hertz . Let P denote the average power of the transmitted signal . At the receiving end of the channel , x ( t ) is per- turbed by the sample function of an independent zero - mean ...
... mean white Gaussian noise process , band - limited to BT hertz . Let P denote the average power of the transmitted signal . At the receiving end of the channel , x ( t ) is per- turbed by the sample function of an independent zero - mean ...
Contents
Representation of Signals and Systems | 12 |
Amplitude Modulation | 114 |
Noise in CW Modulation | 316 |
Copyright | |
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assume autocorrelation function average power average probability band-pass filter band-pass signal bandwidth baseband baseband signal binary PSK binary sequence binary wave carrier frequency carrier wave carrier-to-noise ratio channel coherent complex envelope Consider correlation corresponding defined delta function demodulator denote DSBSC wave duration envelope detector equal Figure filter output FM wave frequency f frequency modulation Hilbert transform impulse response input signal integral interval linear low-pass filter message points message signal modulating wave multiplexing noise power obtained oscillator output signal-to-noise ratio PCM system phase phase-locked loop power spectral density probability density function probability of error Problem produced Product modulator pulse QPSK quadrature components quantizing random process X(t random variable received signal receiver output result Rx(t sample function shown in Fig side-frequencies signal g(t signal-to-noise ratio spectral density No/2 spectrum SSB wave transfer function transmission bandwidth variance vector wave s(t waveform zero mean