Paper Info
Title
Intelligent Adaptive Use Of Wavelet Packets For Biomedical Applications
Abstract
Signal decomposition methods like Wavelet Transform (WT) have been widely used in a large set of applications such as image. speech and biomedical signal processing, reporting good results. In this paper, two versions of the WT ire analyzed: the Discrete Wavelet Transform (DWT) and the Wavelet Packets (WP).The DWT is implemented by means of a filter bank with a fixed structure that provides a base valid to represent signals. The WP is a generalization of DWT that provides a library of bases, so thatThe best one can be chosen to represent the signal. Although WP is superior than the DWT from a theorical view. WP has not been extensively used.This work presents an experiment that shows the behavior of WP and its ability to adapt to the incoming signal. Results show that WP adaptative algorithm performs efficiently and gives good results in the ECG case.
Year
Venue
Keywords
2009
INTELLIGENT AUTOMATION AND SOFT COMPUTING
Wavelet Transform, Discrete Wavelet Transform (DWT), Wavelet Packets (WP), Filter bank, wavelet base selection
Field
DocType
Volume
Harmonic wavelet transform,Lifting scheme,Computer science,Artificial intelligence,Discrete wavelet transform,Wavelet packet decomposition,Wavelet transform,Wavelet,Pattern recognition,Speech recognition,Second-generation wavelet transform,Stationary wavelet transform,Machine learning
Journal
15
Issue
ISSN
Citations 
4
1079-8587
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Eduardo Moreno-Martínez1171.68
Manuel Blanco-Velasco231430.57
Fernando Cruz-Roldán311119.33
Pedro Amo-lópez4132.39
Juan Ignacio Godino-Llorente518230.35