Actions for Signal processing method and system for noise removal and signal extraction [electronic resource].

Email RIS file
Bookmark
Report an Issue

Signal processing method and system for noise removal and signal extraction [electronic resource].

Published
Washington, D.C. : United States. Dept. of Energy, 2009.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators
Lawrence Berkeley National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online

Availability

I Want It
I Want It

Finding items...

Restrictions on Access
Free-to-read Unrestricted online access
Summary
A signal processing method and system combining smooth level wavelet pre-processing together with artificial neural networks all in the wavelet domain for signal denoising and extraction. Upon receiving a signal corrupted with noise, an n-level decomposition of the signal is performed using a discrete wavelet transform to produce a smooth component and a rough component for each decomposition level. The n.sup.th level smooth component is then inputted into a corresponding neural network pre-trained to filter out noise in that component by pattern recognition in the wavelet domain. Additional rough components, beginning at the highest level, may also be retained and inputted into corresponding neural networks pre-trained to filter out noise in those components also by pattern recognition in the wavelet domain. In any case, an inverse discrete wavelet transform is performed on the combined output from all the neural networks to recover a clean signal back in the time domain.
Report Numbers
E 1.99:7,519,488
7,519,488
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
04/14/2009.
"7,519,488"
"US patent application 11/142,049"
Fu, Chi Yung; Petrich, Loren.
Funding Information
W-7405-ENG-48
View MARC record | catkey: 14673865