The difference between Carrier Coherency in analog and digital communications
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Answer:
The crucial difference between Analog and Digital Communication is that Analog communication uses analog signals for transmission and reception of data while digital communication uses digital signals for transmitting and receiving data. ... Moreover, digital communication requires less power than analog communication.
Coherency in signal processing is similar to correlation in statistics. In statistics two random variables are correlated if there exists a linear relationship between the two. Perfectly coherent signals are signals such that one is the response of a linear system to the other applied signal. Hence there exists a linear system such that one signal is the input and the other signal is its output. Coherence is between 0 and 1. The higher the coherency is, the better one can explain the spectral content of the first signal by analyzing the spectral content of the other signal since a linear system is completely characterized by the system's associated Frequency Reponse Function (FRF). As a result the formal definition is the cross spectrum of both signals devided by the square root of the auto spectra. Note that for the FRF we obtain that the FRF is given by the cross spectra of the input and output signal divided by the autospectrum of the input.
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