Title: Biologically-based signal processing system applied to noise removal for signal extraction

Abstract

The method and system described herein use a biologically-based signal processing system for noise removal for signal extraction. A wavelet transform may be used in conjunction with a neural network to imitate a biological system. The neural network may be trained using ideal data derived from physical principles or noiseless signals to determine to remove noise from the signal.

Inventors:

Fu, Chi Yung; Petrich, Loren I.

Issue Date:

2004-07-13

Research Org.:

Univ. of California, Oakland, CA (United States)

Sponsoring Org.:

USDOE

OSTI Identifier:

1174948

Patent Number(s):

6763339

Application Number:

09/888,965

Assignee:

University Of California, The Regents Of

Patent Classifications (CPCs):

G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

H - ELECTRICITY H03 - BASIC ELECTRONIC CIRCUITRY H03H - IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS

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G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS

G06N3/049 - {Temporal neural nets, e.g. delay elements, oscillating neurons, pulsed inputs}

H - ELECTRICITY H03 - BASIC ELECTRONIC CIRCUITRY H03H - IMPEDANCE NETWORKS, e.g. RESONANT CIRCUITS

H03H17/0211 - {using specific transformation algorithms, e.g. WALSH functions, Fermat transforms, Mersenne transforms, polynomial transforms, Hilbert transforms
H03H2222/04 - using neural networks

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DOE Contract Number:  

W-7405-ENG-48

Resource Type:

Patent

Country of Publication:

United States

Language:

English

Subject:

47 OTHER INSTRUMENTATION