Fast adaptive algorithm using Eigenvalues reciprocals as stepsizes

Jinhui Chao; Hector Perez; Shigeo Tsujii

Fast adaptive algorithm using Eigenvalues reciprocals as stepsizes

Jinhui Chao, Hector Perez, Shigeo Tsujii

Research output: Contribution to conference › Paper › peer-review

Abstract

Summary form only given. The authors propose a novel adaptive algorithm that uses the reciprocal of eigenvalues as step-sizes. It requires 3N multiplication per sample period and converges very fast, especially for strongly correlated input signals.

Original language	English
Pages	55
Number of pages	1
State	Published - 1988
Externally published	Yes

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title = "Fast adaptive algorithm using Eigenvalues reciprocals as stepsizes",

abstract = "Summary form only given. The authors propose a novel adaptive algorithm that uses the reciprocal of eigenvalues as step-sizes. It requires 3N multiplication per sample period and converges very fast, especially for strongly correlated input signals.",

author = "Jinhui Chao and Hector Perez and Shigeo Tsujii",

year = "1988",

language = "Ingl{\'e}s",

pages = "55",

}

TY - CONF

T1 - Fast adaptive algorithm using Eigenvalues reciprocals as stepsizes

AU - Chao, Jinhui

AU - Perez, Hector

AU - Tsujii, Shigeo

PY - 1988

Y1 - 1988

N2 - Summary form only given. The authors propose a novel adaptive algorithm that uses the reciprocal of eigenvalues as step-sizes. It requires 3N multiplication per sample period and converges very fast, especially for strongly correlated input signals.

AB - Summary form only given. The authors propose a novel adaptive algorithm that uses the reciprocal of eigenvalues as step-sizes. It requires 3N multiplication per sample period and converges very fast, especially for strongly correlated input signals.

UR - http://www.scopus.com/inward/record.url?scp=0024123058&partnerID=8YFLogxK

M3 - Artículo

SP - 55

ER -

Fast adaptive algorithm using Eigenvalues reciprocals as stepsizes

Abstract

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