Adaptive wavelet transforms of singular and chaotic signals

Ryan Benton; Afshin Ganjoo; Beth Lumetta; Daryl Spillman; Jason Ring

doi:10.1117/12.235988

22 March 1996 Adaptive wavelet transforms of singular and chaotic signals

Ryan Benton, Afshin Ganjoo, Beth Lumetta, Daryl Spillman, Jason Ring

Proceedings Volume 2762, Wavelet Applications III; (1996) https://doi.org/10.1117/12.235988
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available