DocumentCode
436955
Title
Least squares optimization of a polynomial threshold for wavelet domain denoising
Author
Smith, Christopher B. ; Akopian, David ; Agaian, Sos S.
Author_Institution
Dept. of Electr. Eng., Texas Univ., San Antonio, TX, USA
Volume
1
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
109
Abstract
Wavelet based techniques have been used for a number of years to denoise signals. This paper focuses on optimizing a polynomial based non-linear threshold. This threshold has several features that make it well suited for use in optimized and adaptive frameworks. The optimization of this threshold is presented using a least squares based technique and the results are compared to two traditional wavelet threshold techniques.
Keywords
adaptive signal processing; least squares approximations; optimisation; polynomials; signal denoising; wavelet transforms; least squares based technique; least squares optimization; optimization; polynomial based nonlinear threshold; signal denoising; wavelet domain denoising; Additive white noise; Discrete wavelet transforms; Equations; Filtering; Least squares methods; Noise reduction; Polynomials; Smoothing methods; Wavelet domain; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1452593
Filename
1452593
Link To Document