Abstract
The Wigner–Ville transform was used twice for analysis of periodic broadband noisy signals. The first time use is for an extraction of informative part (part in future) from the signal when time window is sliding across a signal from a beginning to the end. Time window overlap N% is applied. This corresponds to N% time of existing window for a part of analyzed signal. The time window size is equal to the part duration time T1. That allows increasing the signal to noise ratio for this part within the window. Then the narrow Fourier filtration (which corresponds to the most informative part of the signal) is applied for the output of time window. Broadband signal becomes narrow band after that. Second time the Wigner–Ville approach is used to extract a periodicity in filtered signal. In this case second window was applied. This window size is at least two times more parts’ repetition time T2. Overlap is M%. This signal processing was successfully used for acoustic and electromagnetic signals of human motion due to footsteps and for underwater clicks of beaked whales in passive acoustic identification. [This work was supported by Army Armament Research, Development, and Engineering Center Contract No. W15QKN-09-C-0163.]
Published Version
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