In this experiment we learn Overlap Add method (OAM) and Overlap Save method (OSM).
Both Overlap Add method and Overlap Save method are block processing techniques to process large data sequences. These large data sequences are decomposed into smaller sequences and then computed individually.
Overlap Add method (OAM) involves the decomposing of the signal into smaller signals and then using liner convolution and the overlapped part of the sequences are added to find the output.
Overlap Save method (OSM) involves the decomposing of the signal into smaller signals and then using circular convolution and the convoluted part of the sequences are discarded to find the output.
Both of these methods are equally computationally fast and use memory equally.
Both Overlap Add method and Overlap Save method are block processing techniques to process large data sequences. These large data sequences are decomposed into smaller sequences and then computed individually.
Overlap Add method (OAM) involves the decomposing of the signal into smaller signals and then using liner convolution and the overlapped part of the sequences are added to find the output.
Overlap Save method (OSM) involves the decomposing of the signal into smaller signals and then using circular convolution and the convoluted part of the sequences are discarded to find the output.
Both of these methods are equally computationally fast and use memory equally.
Which one is better?
ReplyDeleteOSM is better as there is no need of addition and that part of calculation is reduced.
DeleteCan you please give a real life application of these techniques?
ReplyDeleteTransmission of large data files like video, etc.
DeleteCan OAM and OSM be used for IIR long data sequences?
ReplyDeleteNo, difference equation is used for IIR long data sequences
DeleteOAM OSM are used to find op of digital fir filter
ReplyDeleteCorrect
DeleteIn OAM and OSM we break the input sequence and give it as input.
ReplyDeleteYes, these are block processing techniques
DeleteOAM and OSM are efficient ways to calculate convolution between very long signal x[n] and finite impulse response h[n].
ReplyDeleteYes
Delete