DocumentCode :
349083
Title :
Nonlinear adaptive filters and wavelets. A statistical analysis
Author :
Isar, Alexandru ; Isar, Dorina ; Asztalos, Tibor
Author_Institution :
Electron. & Telecommun. Fac., Timisoara, Romania
Volume :
2
fYear :
1999
fDate :
5-8 Sep 1999
Firstpage :
761
Abstract :
The aim of this paper is to analyze some very fast nonlinear adaptive filters, proposed by Donoho, which can be used in the Discrete Wavelet Transform domain for compression or denoising. Being nonlinear, these filters can be not robust. This is the reason why we will present here a study of their robustness. We prove that these filters don´t polarize the signals processed and that these systems are robust. The processing systems that use these filters in conjunction with the direct and inverse wavelet transforms are presented. Two examples of application, proving the good qualities of these filters, the first for data compression and the second for denoising are presented. These examples underline the advantages of the use of wavelets in applications like compression or denoising
Keywords :
adaptive filters; adaptive signal processing; data compression; discrete wavelet transforms; nonlinear filters; statistical analysis; compression; data compression; denoising; discrete wavelet transform domain; nonlinear adaptive filters; robustness; statistical analysis; Adaptive filters; Discrete wavelet transforms; Noise reduction; Polarization; Robustness; Signal processing; Statistical analysis; Wavelet analysis; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
Conference_Location :
Pafos
Print_ISBN :
0-7803-5682-9
Type :
conf
DOI :
10.1109/ICECS.1999.813220
Filename :
813220
Link To Document :
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