Evolving best-basis representations

Adelino Rocha Ferreira da Silva

doi:10.1109/CEC.1999.781940

Evolving best-basis representations

Adelino Rocha Ferreira da Silva

DEE2010-B2 Sistemas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Adapted waveform analysis decomposes a signal or dataset into a linear expansion of waveforms that are selected from a redundant dictionary of functions. These waveforms are chosen in order to best match the signal structures. We consider decompositions using libraries of time shifted wavelet packet bases. We use evolutionary programming as the main tool to solve the optimization problem of finding the joint best basis, best shift and best wavelet filter for representing a given signal. The evolved best basis is combined with linear discriminant analysis for the purpose of temporal pattern identification.

Original language	English
Title of host publication	Proceedings of the 1999 Congress on Evolutionary Computation
Editors	P. Angeline
Place of Publication	New York
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	302-309
Number of pages	8
ISBN (Electronic)	0-7803-5536-9
DOIs	https://doi.org/10.1109/CEC.1999.781940
Publication status	Published - 1999
Event	1999 Congress on Evolutionary Computation, CEC 1999 - Washington, United States Duration: 6 Jul 1999 → 9 Jul 1999

Conference

Conference	1999 Congress on Evolutionary Computation, CEC 1999
Country/Territory	United States
City	Washington
Period	6/07/99 → 9/07/99

Keywords

Computer programming
Optimization
Best-basis representations
Linear discriminant analysis
Optimization problem
Redundant dictionaries
Signal structures
Temporal pattern identification
Wavelet packet basis
Evolutionary algorithms

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10.1109/CEC.1999.781940

Cite this

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title = "Evolving best-basis representations",

abstract = "Adapted waveform analysis decomposes a signal or dataset into a linear expansion of waveforms that are selected from a redundant dictionary of functions. These waveforms are chosen in order to best match the signal structures. We consider decompositions using libraries of time shifted wavelet packet bases. We use evolutionary programming as the main tool to solve the optimization problem of finding the joint best basis, best shift and best wavelet filter for representing a given signal. The evolved best basis is combined with linear discriminant analysis for the purpose of temporal pattern identification.",

keywords = "Computer programming, Optimization, Best-basis representations, Linear discriminant analysis, Optimization problem, Redundant dictionaries, Signal structures, Temporal pattern identification, Wavelet packet basis, Evolutionary algorithms",

author = "{da Silva}, {Adelino Rocha Ferreira}",

year = "1999",

doi = "10.1109/CEC.1999.781940",

language = "English",

pages = "302--309",

editor = "P. Angeline",

booktitle = "Proceedings of the 1999 Congress on Evolutionary Computation",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "1999 Congress on Evolutionary Computation, CEC 1999 ; Conference date: 06-07-1999 Through 09-07-1999",

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da Silva, ARF 1999, Evolving best-basis representations. in P Angeline (ed.), Proceedings of the 1999 Congress on Evolutionary Computation. Institute of Electrical and Electronics Engineers (IEEE), New York, pp. 302-309, 1999 Congress on Evolutionary Computation, CEC 1999, Washington, District of Columbia, United States, 6/07/99. https://doi.org/10.1109/CEC.1999.781940

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AB - Adapted waveform analysis decomposes a signal or dataset into a linear expansion of waveforms that are selected from a redundant dictionary of functions. These waveforms are chosen in order to best match the signal structures. We consider decompositions using libraries of time shifted wavelet packet bases. We use evolutionary programming as the main tool to solve the optimization problem of finding the joint best basis, best shift and best wavelet filter for representing a given signal. The evolved best basis is combined with linear discriminant analysis for the purpose of temporal pattern identification.

KW - Computer programming

KW - Optimization

KW - Best-basis representations

KW - Linear discriminant analysis

KW - Optimization problem

KW - Redundant dictionaries

KW - Signal structures

KW - Temporal pattern identification

KW - Wavelet packet basis

KW - Evolutionary algorithms

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U2 - 10.1109/CEC.1999.781940

DO - 10.1109/CEC.1999.781940

M3 - Conference contribution

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BT - Proceedings of the 1999 Congress on Evolutionary Computation

A2 - Angeline, P.

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - New York

T2 - 1999 Congress on Evolutionary Computation, CEC 1999

Y2 - 6 July 1999 through 9 July 1999

ER -

Evolving best-basis representations

Abstract

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Keywords

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