Discrete time Convolution and Correlation
This was the great experience of learning digital signal processing, the aim of this experiment was to study mathematical operations such as linear, circular, convolution linear using circular convolution. I developed a function in C program on Linux terminal to find the LC, CC, LC using CC and verified the output of the program using mathematical time domain method.In linear convolution, if both signals are causal then the resultant output signal is also causal.Convolution gives the output of the system, circular convolution gives aliased output.
Let's come to correlation, it has two types auto -correlation and cross-correlation.An autocorrelated signal is an even signal.Autocorrelation of delayed signal is same as the original signal.The application of correlation is the measurement degree of similarity between two signals, we used Carl's correlation coefficient formula to find the degree of similarity of two signals.
Let's come to correlation, it has two types auto -correlation and cross-correlation.An autocorrelated signal is an even signal.Autocorrelation of delayed signal is same as the original signal.The application of correlation is the measurement degree of similarity between two signals, we used Carl's correlation coefficient formula to find the degree of similarity of two signals.
Correlation compares two signals while convolution is used to get output of filter
ReplyDeleteyes
DeleteIf the filter is symmetric, then convolution and correlation achieve the same result.
ReplyDeletecould you please explain it
DeleteThis is required for filter design and to get output of the system
ReplyDeleteAbsolutely
DeleteConvolution of two causal signal is always causal signal
ReplyDeleteYes and of two anti-causal signal is anti-causal
DeletePlease read my other blogs also and do Like,Comment and Share
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