Accession Number : ADA328233

Title :   Local Eigenfunctions Based Suboptimal Wavelet Packet Representation of Contaminated Chaotic Signals.

Descriptive Note : Technical rept.,

Corporate Author : PENNSYLVANIA STATE UNIV UNIVERSITY PARK CENTER FOR MULTIVARIATE ANALYSIS

Personal Author(s) : Bukkapatnam, Satish T. ; Kumara, Soundar R. ; Lakhtakia, A.

PDF Url : ADA328233

Report Date : JUL 1997

Pagination or Media Count : 25

Abstract : We report a suboptimal wavelet packet (WP) representation of signals emanating from a chaotic attractor contaminated by low levels of noise. Our method - geared towards choosing a suboptimal scaling function to parsimoniously represent the signal - involves extracting local eigenfunctions using artificial ensembles generated from a psendo-probability space, and using the extracted local eigenfunctions to develop a suboptimal scaling function. The application of our novel representation method to actual acoustic emission (AE) signals from the turning process reveals the superiority of these methods over the existing signal representations.

Descriptors :   *SIGNAL PROCESSING, *CHAOS, *WAVELET TRANSFORMS, ALGORITHMS, OPTIMIZATION, STOCHASTIC PROCESSES, EIGENVECTORS, SCALING FACTOR, PARTIAL DIFFERENTIAL EQUATIONS, ACOUSTIC SIGNALS, APPLIED MATHEMATICS, ACOUSTIC EMISSIONS.

Subject Categories : Statistics and Probability
      Operations Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE