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Wavelet noise removal from baseband digital signals in bandlimited channels

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1 Author(s)
Robert J. Barsanti ; Department of Electrical and Computer Engineering, The Citadel, Charleston, SC, 29407

This paper investigates the application of wavelet noise removal techniques to digital baseband signals. Non-linear filtering in the wavelet domain is used to improve the performance of the standard time domain correlation process for these signals. The proposed wavelet-based receiver computes the normalized cross correlation between the filtered wavelet coefficients of the received signal and wavelet coefficients that correspond to the known transmitted digital signals. Simulations are conducted comparing the wavelet receiver to the classical matched receiver.

Published in:

2010 42nd Southeastern Symposium on System Theory (SSST)

Date of Conference:

7-9 March 2010