Title :
Spline-wavelets of free knots for signal processing
Author_Institution :
Dept. of Sci. Comput. & Comput. Appl., Zhongshan Univ., Guangzhou
Abstract :
Previous authors have discussed signal processing by many different methods. One of them, which is useful and a relatively recent development in signal processing, is the wavelet method. These authors have obtained wavelets on an infinite interval (-∞, +∞) first, and then on a bounded interval, but their wavelets were only restricted in k·2-j scale knots in [0,1]. The aim of this paper is to present an approach for the study of multiresolution analysis and wavelets on a bounded interval with free knots. This wavelet can be used as different bandpass filters to different subintervals in [0,1] for signal processing
Keywords :
band-pass filters; digital filters; signal resolution; splines (mathematics); wavelet transforms; bandpass filters; bounded interval; free knots; multiresolution analysis; signal processing; spline-wavelets; subintervals; Band pass filters; Computer applications; Data compression; Image coding; Partial response channels; Signal analysis; Signal processing; Signal resolution; Spline; Wavelet analysis;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567242
