Performance analysis of the deficient length EDS adaptive algorithm

Zhongkai Zhang; Tamal Bose; Li Xiao; Ratchaneekorn Thamvichai

doi:10.1109/APCCAS.2006.342372

Performance analysis of the deficient length EDS adaptive algorithm

Zhongkai Zhang, Tamal Bose, Li Xiao, Ratchaneekorn Thamvichai

Electrical and Computer Engineering

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

10 Scopus citations

Abstract

In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not the case. The filter impulse response is typically shorter and hence called deficient length. The Euclidean Direction Search (EDS) algorithm is a relatively new adaptive filtering scheme, which combines the benefits of fast convergence of the RLS and the low computational complexity of the LMS algorithm. In this paper, we analyze the performance of the deficient length EDS algorithm. Computer simulation results are encouraging and agree with the theoretical findings.

Original language	English (US)
Title of host publication	APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Pages	222-226
Number of pages	5
DOIs	https://doi.org/10.1109/APCCAS.2006.342372
State	Published - 2006
Event	APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems - , Singapore Duration: Dec 4 2006 → Dec 6 2006

Publication series

Name	IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Other

Other	APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems
Country/Territory	Singapore
Period	12/4/06 → 12/6/06

Keywords

Adaptive algorithm
Deficient
EDS

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APCCAS.2006.342372

Cite this

Performance analysis of the deficient length EDS adaptive algorithm. / Zhang, Zhongkai; Bose, Tamal; Xiao, Li et al.
APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems. 2006. p. 222-226 4145371 (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS).

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

Zhang, Z, Bose, T, Xiao, L & Thamvichai, R 2006, Performance analysis of the deficient length EDS adaptive algorithm. in APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems., 4145371, IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp. 222-226, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems, Singapore, 12/4/06. https://doi.org/10.1109/APCCAS.2006.342372

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title = "Performance analysis of the deficient length EDS adaptive algorithm",

abstract = "In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not the case. The filter impulse response is typically shorter and hence called deficient length. The Euclidean Direction Search (EDS) algorithm is a relatively new adaptive filtering scheme, which combines the benefits of fast convergence of the RLS and the low computational complexity of the LMS algorithm. In this paper, we analyze the performance of the deficient length EDS algorithm. Computer simulation results are encouraging and agree with the theoretical findings.",

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T1 - Performance analysis of the deficient length EDS adaptive algorithm

AU - Zhang, Zhongkai

AU - Bose, Tamal

AU - Xiao, Li

AU - Thamvichai, Ratchaneekorn

PY - 2006

Y1 - 2006

N2 - In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not the case. The filter impulse response is typically shorter and hence called deficient length. The Euclidean Direction Search (EDS) algorithm is a relatively new adaptive filtering scheme, which combines the benefits of fast convergence of the RLS and the low computational complexity of the LMS algorithm. In this paper, we analyze the performance of the deficient length EDS algorithm. Computer simulation results are encouraging and agree with the theoretical findings.

AB - In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not the case. The filter impulse response is typically shorter and hence called deficient length. The Euclidean Direction Search (EDS) algorithm is a relatively new adaptive filtering scheme, which combines the benefits of fast convergence of the RLS and the low computational complexity of the LMS algorithm. In this paper, we analyze the performance of the deficient length EDS algorithm. Computer simulation results are encouraging and agree with the theoretical findings.

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KW - Deficient

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T3 - IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

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BT - APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems

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Y2 - 4 December 2006 through 6 December 2006

ER -

Performance analysis of the deficient length EDS adaptive algorithm

Abstract

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Keywords

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