The aim of this experiment was to perform OAM(Overlap Add Method) and OSM(Overlap Save Method) in FIR-filter(Finite Impulse Response) to filter a sequential data input. Independent functions to perform OAM and OSM separately were executed in C language which took length of the signal(in my case:13)as one of its arguments. It was observed that both techniques of filtering yielded the same output. Also we essentially observed that the function decomposed the input signal into blocks and computed them separately. This meant that both OAM and OSM are block processing techniques.
Why do we use OAM and OSM on real valued signal and not FFT?
ReplyDeleteBecause FFT requires parallel input and real valued signal in sequential.
DeleteOAM and OSM are efficient ways to calculate convolution between very long signal x[n] and finite impulse response h[n].
ReplyDeleteYes because they are block processing techniques.
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ReplyDeleteOAM and OSM techniques are used for finding the response or output of filter.
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