Adaptive wavelet transforms of singular and chaotic signals
Ryan Benton, Afshin Ganjoo, Beth Lumetta, Daryl Spillman, Jason Ring · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
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.