Optimal gain derivation for the LMS algorithm using a visual fidelity criterion

This paper analytically derives the optimal feedback gain parameter, ∞ 0 , for the least mean squares (LMS) algorithm used in a video compression application and subject to a visual fidelity criteria. Experimental results are presented which show these analytically derived values of ∞ 0 to be in exc...

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Bibliographic Details
Published inIEEE transactions on acoustics, speech, and signal processing Vol. 32; no. 2; pp. 434 - 437
Main Authors Alexander, S., Rajala, S.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.04.1984
Institute of electrical and electronics engineers
Subjects
Adaptive filters
Algebra
Artificial intelligence
Circuits
Digital filters
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Image converters
Imaging and optical processing
Least squares approximation
Limit-cycles
Linear matrix inequalities
Optics
Physics
State-space methods
Fidelity
Least squares method
Image
Algorithm
Information compression
Gain
Optimization
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ISSN0096-3518
DOI10.1109/TASSP.1984.1164322

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Summary:This paper analytically derives the optimal feedback gain parameter, ∞ 0 , for the least mean squares (LMS) algorithm used in a video compression application and subject to a visual fidelity criteria. Experimental results are presented which show these analytically derived values of ∞ 0 to be in excellent agreement with experimentally derived ∞ 0 over a wide range of filter and data parameters.
ISSN:0096-3518
DOI:10.1109/TASSP.1984.1164322