Title :
Wavelet noise removal from baseband digital signals in bandlimited channels
Author :
Barsanti, Robert J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Citadel, Charleston, SC, USA
Abstract :
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.
Keywords :
interference suppression; nonlinear filters; radio receivers; signal processing; wavelet transforms; bandlimited channels; digital baseband signals; nonlinear filtering; normalized cross correlation; time domain correlation process; wavelet coefficients; wavelet domain; wavelet noise removal; wavelet receiver; wavelet-based receiver; Baseband; Digital filters; Discrete wavelet transforms; Filtering; Optical receivers; Pulse modulation; Pulse shaping methods; Signal processing; Wavelet analysis; Wavelet domain; Digital Receivers; PAM; Wavelet Analysis;
Conference_Titel :
System Theory (SSST), 2010 42nd Southeastern Symposium on
Conference_Location :
Tyler, TX
Print_ISBN :
978-1-4244-5690-1
DOI :
10.1109/SSST.2010.5442852