The practical approach towards Convolution and Correlation is studied during the lab sessions. Convolution is a mathematical way of combining two signals {x(n) and h(n)}to form the third one{y(n)}. Practicals on both linear and circular convolutions are performed. Circular convolution gives aliased output. In correlation we learned to find the degree of similarities between the two signals. If the input is delayed the auto-correlation of delayed input is same as that of the original input signal. Thus all this is verified using different values if input signals.
Correlation has applications in radar systems,speech recognition etc
ReplyDeleteConvolution is used to find the output of the system
ReplyDeletecan beused in image and signal processing
ReplyDeleteCorrelation tells us about similarity of signals
ReplyDeleteIf both x[n] and h[n] are causal then the resultant y[n] is also causal.
ReplyDelete