Convolution gives the output of the system, whereas Correlation gives the degree of similarity between two signals.
Autocorrelation signal is an Even signal and autocorrelation of delayed signal is same as that of original signal.
Cross correlation of input signal with delayed version of this input signal is same as that of autocorrelation of this original input signal. Correlation is helpful in finding the degree of similarity between two signals.
In transform domain, convolution is obtained by multiplication
ReplyDeleteConvolution is used to find output.
ReplyDeleteCorrelation is widely used in real time signal & image processing application
ReplyDeletecorrelation is used to find the degree of similarity between 2 signals
ReplyDeleteConvolution is used to find output of the signal
ReplyDeleteWhat is the significance of the output signal at n=0 of autocorrelation signal?
ReplyDeleteLength of output signal in autocorrelation will be N=L+M-1 where L and M are lengths of input signals
ReplyDeleteThe experiment was performed by executing C program.Linear convolution gives output of a system
ReplyDeleteLinear Convolution can be performed using Circular convolution algorithm.
ReplyDeleteThe output of the convolution has the length L+M-1 (where L = Length of x[n] , M = Length of h[n] ).
ReplyDelete