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22 March 1996 Adaptive wavelet transforms of singular and chaotic signals
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Abstract
In the field of signal processing, there is a need to quickly and efficiently detect and extract information from signals. One type of signal feature that is difficult to process is a discontinuous singularity and chaotic structure. In this paper, we conduct an experiment that employs adaptive wavelet transforms to efficiently detect signals from simulated data. The adaptive wavelet transformations create super-mother wavelets, which are used to extract a singularity signal from a noisy transmission.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryan Benton, Afshin Ganjoo, Beth Lumetta, Daryl Spillman, and Jason Ring "Adaptive wavelet transforms of singular and chaotic signals", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); https://doi.org/10.1117/12.235988
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