There were two parts in this experiment. The first one was to code for OAM method and the second was to code for OSM. By this date we had completed both of them in theory. hence we knew that to calculate FFT of a long length input signal is practically and mathematically a very difficult task because length of input signal increases the stages in the FFT algorithm. The OAM and OSM methods divide the input signal into smaller lengths and filter output (FFT) of such smaller length signal is calculated. The overlapped portion is added in case of OAM and discarded in case of OSM. The resultant output is the output of the whole input signal.
Wednesday, 24 April 2019
OAM / OSM
There were two parts in this experiment. The first one was to code for OAM method and the second was to code for OSM. By this date we had completed both of them in theory. hence we knew that to calculate FFT of a long length input signal is practically and mathematically a very difficult task because length of input signal increases the stages in the FFT algorithm. The OAM and OSM methods divide the input signal into smaller lengths and filter output (FFT) of such smaller length signal is calculated. The overlapped portion is added in case of OAM and discarded in case of OSM. The resultant output is the output of the whole input signal.
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can you explain both the methods with an example?
ReplyDeleteDid you used matlab here?
ReplyDeleteNO. We used CCS
DeleteIt was helpful
ReplyDelete