A System Identification Algorithm Using Orthogonal Functions

Hector Perez; Shigeo Tsujii

doi:10.1109/78.80865

A System Identification Algorithm Using Orthogonal Functions

Hector Perez, Shigeo Tsujii

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

A new adaptive filter (ADF) structure is proposed for applications in which large order ADF's are required. It is based on modeling the impulse response of the system to be indentified as a linear combination of a set of discrete orthogonal functions. Computer simulations using actual acoustic echo path impulse responses show that the proposed ADF structure has better convergence performance than FIR transversal ADF when they are required to identify systems with long impulse responses.

Original language	English
Pages (from-to)	752-755
Number of pages	4
Journal	IEEE Transactions on Signal Processing
Volume	39
Issue number	3
DOIs	https://doi.org/10.1109/78.80865
State	Published - Mar 1991
Externally published	Yes

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abstract = "A new adaptive filter (ADF) structure is proposed for applications in which large order ADF's are required. It is based on modeling the impulse response of the system to be indentified as a linear combination of a set of discrete orthogonal functions. Computer simulations using actual acoustic echo path impulse responses show that the proposed ADF structure has better convergence performance than FIR transversal ADF when they are required to identify systems with long impulse responses.",

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AB - A new adaptive filter (ADF) structure is proposed for applications in which large order ADF's are required. It is based on modeling the impulse response of the system to be indentified as a linear combination of a set of discrete orthogonal functions. Computer simulations using actual acoustic echo path impulse responses show that the proposed ADF structure has better convergence performance than FIR transversal ADF when they are required to identify systems with long impulse responses.

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A System Identification Algorithm Using Orthogonal Functions

Abstract

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