Local eigenfunctions based suboptimal wavelet packet representation of contaminated chaotic signals
نویسنده
چکیده
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 signalinvolves extracting local eigenfunctions using artificial ensembles generated from a pseudo-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. Submitted to the IMA Journal of Applied Mathematics, July 1997
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تاریخ انتشار 1999