In this experiment we want to implement Linear filtering
Tradition methods of time domain based convolution require the entire input sequence to be present before commutation. This can pose a problem in real time applications where the data coming is long and continuous. Overlap save method and overlap add method divide the input sequence into smaller blocks. The filtering of individual blocks which are smaller in length is done by DFT and IDFT and then fitted one after the other. The overlapped portion is discarded in OSM whereas it is added in OAM to get the required output sequence. This resultant is the same as that if the input had been processed via time domain convolution.
Tradition methods of time domain based convolution require the entire input sequence to be present before commutation. This can pose a problem in real time applications where the data coming is long and continuous. Overlap save method and overlap add method divide the input sequence into smaller blocks. The filtering of individual blocks which are smaller in length is done by DFT and IDFT and then fitted one after the other. The overlapped portion is discarded in OSM whereas it is added in OAM to get the required output sequence. This resultant is the same as that if the input had been processed via time domain convolution.
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