Genetic Algorithms in Spectral Analysis of CVS Signals

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F99%3A4360024" target="_blank" >RIV/00216305:26220/99:4360024 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Genetic Algorithms in Spectral Analysis of CVS Signals

Original language description

The paper deals with methods for estimation of spectral characteristics of signals generated by cardiovascular system. Considering character of CVS signals, parametric algorithms based on AR models seem to have convenient properties for this purpose. Because classical methods used for estimation of AR parameters are not robust and accurate enough genetic algorithm was used for parameter estimation.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BD - Information theory

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Applied Electronics \'99

ISBN

80-7082-512-X

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

Západočeská universita, Plzeň

Place of publication

Plzeň

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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