In a real time system we receive signal values continuously. Thus when the signal is continuous, OAM/OSM computational methods are use to generate the reaponse of the system. This methods stores a finite amount of sample values from the input signal length of which is given by user, process it and generate the response with altering the values according to their respective algorithms. The time required for this two technique is same.
We performed this experiment in two parts which included Discrete Convolution (expo 1 a) and Discrete Correlation (expt 1 b).We calculated the output manually in journal and with a c program which was executed and run on Linux os and we observed that the length of Linearly Convolved output signal was N=L+M-1 while that of Circularly Convolved output signal was Max(L,M) where L & M are length of input signals.Also circular convolution gives aliased(overlapped) output. In Discrete Correlation when the input signals are delayed auto-correlation of delayed input signal is same as that of original signal while Cross-Correlation of input with delayed input signal is same as that of auto correlated delayed input signal. In Convolution we find the output of the system while in Correlation we find similarity between two signals.
Thanks for the explanation
ReplyDeleteVery informative.
ReplyDeletePerfectly explained in limited words
ReplyDeleteBoth the methods gives same output and computational time required is also same
ReplyDeleteYeah both gives same output!
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