Friday, 22 April 2016

Linear and Circular Convolution and Correlation

The aim of this experiment was to  such as Linear convolution, Circular convolution, Linear convolution using circular convolution.We developed a function to find Linear Convolution and Circular Convolution We calculated Linear Convolution, Circular Convolution and Linear Convolution using Circular Convolution and verified the results using mathematical formulation.We then concluded on aliasing effect in Circular convolution.The aim of the second part of the experiment was to study mathematical operation of correlation and measure degree of similarity between two signals.We wrote a function to find correlation operation. We calculated correlation of a DT signals and verify the results using mathematical formula. We also measured the degree of similarity using Carl’s Correlation Coefficient formula in time domain. 



THE CODES CAN BE FOUND AT 
https://drive.google.com/drive/folders/0B-XPe3yA-mx-Z1J6QWVsQmZyODg

4 comments:

  1. In case of auto-correlation, the output signal is palindrome.Also, aliasing effect is observed in circular convolution.

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  2. What is the difference between Convolution and correlation?

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  3. convolution is basically multiplication anjd gives the modified o/p wheras in correlation similarities between two signals is checked.

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  4. In convolution if the input is causal then the output is alos causal

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