This
experiment was to perform Linear filtering using OAM (Overlap Add Method)
and OSM (Overlap Save Method). Here we have a long sequence data x[n]
whose response has to an impulse function here(h[n]) has to be observed. For
this the length of the data sequence must be sufficiently larger than the
impulse that is applied to the system. In OAM we decompose the long input
data sequence into smaller segments of lesser length, then we operate linear
convolution to get segmented outputs of all the decomposed segments. After that
we combine these outputs to obtain the final output. In OSM also we decompose
the input data into smaller segments.The answer which we get for the linear
convolution of the input data is the same by OAM method and OSM method.
OSM and OAM can be used for periodic signals!
ReplyDeleteOSM has a better memory conservation than OAM!
ReplyDeleteOAM and OSM cannot be used for IIR filter.
ReplyDeleteBecause it can only be used for long length signals and not for infinite length signals which is the case for IIR filters.
OAM and OSM are efficient ways to calculate convolution between very long signal x[n] and finite impulse response h[n]
ReplyDeletefor inputs having large lengths OAM and OSM are useful for getting outputs with reduced delay
ReplyDelete