Robust optimization strategies for adaptive filters operating with fixed and transient hardware errors

Siddharth Pal; W. K. Jenkins

Robust optimization strategies for adaptive filters operating with fixed and transient hardware errors

Siddharth Pal, W. K. Jenkins

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

Abstract

Adaptive digital filters can be designed with hardware redundancy to achieve robust performance through a mechanism called adaptive fault tolerance (AFT). Results presented in this paper shown that due to the decorrelating properties of a transform AF structure transient errors dissipate much more quickly in transform domain AFT structures than in time domain structures. It is then shown that population based stochastic optimization algorithms (e.g., the constrained random search algorithm) are capable of overcoming degraded performance caused by ill-conditioning in many different types of AFT filter structures.

Original language	English (US)
Title of host publication	Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers
Pages	349-353
Number of pages	5
State	Published - 2005
Event	39th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States Duration: Oct 28 2005 → Nov 1 2005

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2005
ISSN (Print)	1058-6393

Other

Other	39th Asilomar Conference on Signals, Systems and Computers
Country/Territory	United States
City	Pacific Grove, CA
Period	10/28/05 → 11/1/05

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Networks and Communications

Cite this

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title = "Robust optimization strategies for adaptive filters operating with fixed and transient hardware errors",

abstract = "Adaptive digital filters can be designed with hardware redundancy to achieve robust performance through a mechanism called adaptive fault tolerance (AFT). Results presented in this paper shown that due to the decorrelating properties of a transform AF structure transient errors dissipate much more quickly in transform domain AFT structures than in time domain structures. It is then shown that population based stochastic optimization algorithms (e.g., the constrained random search algorithm) are capable of overcoming degraded performance caused by ill-conditioning in many different types of AFT filter structures.",

author = "Siddharth Pal and Jenkins, {W. K.}",

year = "2005",

language = "English (US)",

isbn = "1424401313",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

pages = "349--353",

booktitle = "Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers",

note = "39th Asilomar Conference on Signals, Systems and Computers ; Conference date: 28-10-2005 Through 01-11-2005",

}

Pal, S & Jenkins, WK 2005, Robust optimization strategies for adaptive filters operating with fixed and transient hardware errors. in Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers., 1599766, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2005, pp. 349-353, 39th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, United States, 10/28/05.

Robust optimization strategies for adaptive filters operating with fixed and transient hardware errors. / Pal, Siddharth; Jenkins, W. K.
Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers. 2005. p. 349-353 1599766 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2005).

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

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AU - Jenkins, W. K.

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N2 - Adaptive digital filters can be designed with hardware redundancy to achieve robust performance through a mechanism called adaptive fault tolerance (AFT). Results presented in this paper shown that due to the decorrelating properties of a transform AF structure transient errors dissipate much more quickly in transform domain AFT structures than in time domain structures. It is then shown that population based stochastic optimization algorithms (e.g., the constrained random search algorithm) are capable of overcoming degraded performance caused by ill-conditioning in many different types of AFT filter structures.

AB - Adaptive digital filters can be designed with hardware redundancy to achieve robust performance through a mechanism called adaptive fault tolerance (AFT). Results presented in this paper shown that due to the decorrelating properties of a transform AF structure transient errors dissipate much more quickly in transform domain AFT structures than in time domain structures. It is then shown that population based stochastic optimization algorithms (e.g., the constrained random search algorithm) are capable of overcoming degraded performance caused by ill-conditioning in many different types of AFT filter structures.

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BT - Conference Record of The Thirty-Ninth Asilomar Conference on Signals, Systems and Computers

T2 - 39th Asilomar Conference on Signals, Systems and Computers

Y2 - 28 October 2005 through 1 November 2005

ER -

Robust optimization strategies for adaptive filters operating with fixed and transient hardware errors

Abstract

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All Science Journal Classification (ASJC) codes

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