Mean-square error surfaces of 2-D recursive adaptive filters

Jeffrey C. Strait; William Kenneth Jenkins

Mean-square error surfaces of 2-D recursive adaptive filters

Jeffrey C. Strait, William Kenneth Jenkins

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

Abstract

Recursive adaptive filters which utilize a stochastic gradient search algorithm in order to optimize their coefficients are apt to converge to local minima if the meansquare error surface is not unimodal. Such conditions are known to result since the IIR mean-square error surface is not quadratic. Two-dimensional adaptive filter error surfaces are examined in this paper, and their properties are seen to be very similar to those of 1-D IIR adaptive filter error surfaces.

Original language	English (US)
Pages	797-800
Number of pages	4
State	Published - Dec 1 1994
Event	Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) - Lafayette, LA, USA Duration: Aug 3 1994 → Aug 5 1994

Other

Other	Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2)
City	Lafayette, LA, USA
Period	8/3/94 → 8/5/94

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Cite this

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title = "Mean-square error surfaces of 2-D recursive adaptive filters",

abstract = "Recursive adaptive filters which utilize a stochastic gradient search algorithm in order to optimize their coefficients are apt to converge to local minima if the meansquare error surface is not unimodal. Such conditions are known to result since the IIR mean-square error surface is not quadratic. Two-dimensional adaptive filter error surfaces are examined in this paper, and their properties are seen to be very similar to those of 1-D IIR adaptive filter error surfaces.",

author = "Strait, {Jeffrey C.} and Jenkins, {William Kenneth}",

year = "1994",

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day = "1",

language = "English (US)",

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note = "Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) ; Conference date: 03-08-1994 Through 05-08-1994",

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T1 - Mean-square error surfaces of 2-D recursive adaptive filters

AU - Strait, Jeffrey C.

AU - Jenkins, William Kenneth

PY - 1994/12/1

Y1 - 1994/12/1

N2 - Recursive adaptive filters which utilize a stochastic gradient search algorithm in order to optimize their coefficients are apt to converge to local minima if the meansquare error surface is not unimodal. Such conditions are known to result since the IIR mean-square error surface is not quadratic. Two-dimensional adaptive filter error surfaces are examined in this paper, and their properties are seen to be very similar to those of 1-D IIR adaptive filter error surfaces.

AB - Recursive adaptive filters which utilize a stochastic gradient search algorithm in order to optimize their coefficients are apt to converge to local minima if the meansquare error surface is not unimodal. Such conditions are known to result since the IIR mean-square error surface is not quadratic. Two-dimensional adaptive filter error surfaces are examined in this paper, and their properties are seen to be very similar to those of 1-D IIR adaptive filter error surfaces.

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M3 - Paper

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T2 - Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2)

Y2 - 3 August 1994 through 5 August 1994

ER -

Mean-square error surfaces of 2-D recursive adaptive filters

Abstract

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All Science Journal Classification (ASJC) codes

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