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Removal of colored noise from non-stationary signals using wavelet packet and cosine packet decompositions

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1 Author(s)
Barsanti, R.J. ; Dept. of Electr. & Comput. Eng., Citadel Coll., Charleston, SC, USA

This paper investigates the application of multi-resolution wavelet and cosine packet decompositions to the removal of noise from nonstationary signals. A unique algorithm is developed that selects between wavelet and cosine packet decompositions based on the decomposition entropy. The algorithm pre-whitens, segments, and decomposes the signal into both wavelet transform packets and cosine transform packets, then applies a nonlinear threshold to remove noise prior to apply the inverse transform. Simulations are provided that display the results of the algorithm on two different whale songs.

Published in:

System Theory, 2005. SSST '05. Proceedings of the Thirty-Seventh Southeastern Symposium on

Date of Conference:

20-22 March 2005

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