OAM and OSM method is used filtering real life signals which may not as short as 4/8 point signals. In this method the signal is equally divided in short length signals and then convolution of these short length signals are obtained. The convoluted signals are then added to get the final output.
As the signal is divided into N number of short length signals the effective number of calculations as well the time for computation reduces.
OAM and OSM using FFT is used to process long data sequences
ReplyDelete@Aayush Patial , since we have a 2GB RAm , wouldnt any method be instantaneous?????
ReplyDeleteOSM is better than OAM
ReplyDeleteAgree with chinmay but time is precious .... even if it is in milliseconds
ReplyDeleteOAM divides the input into smaller chunks whereas OSM divides the output into small length for computations.
ReplyDeleteAgree with Chetan. When the result is the output generated here, OAM is better as output is to be converted anyway. But when this output is to be further processed, OSM should be preferred as most systems will work on finite length signals, which the OSM provides
ReplyDeleteOverlap Add method is used in FIR filter for a long signal.
ReplyDeleteOAM and OSM cannot be used for IIR (Infinite Impulse Response) Filters
ReplyDelete