2005•Unpublished venueRequires access

Constrained Chebyshev approximation for FIR filters

F. Grenez

Open publisher page 4 citations

Abstract

Constrained Chebychev approximation is a known mathematical problem, and Remes' type algorithms for finding the solution have been described. It is shown in this paper that the classical Parks-McClellan program can be converted into a general program for constrained approximation.

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What this paper is about

Constrained Chebychev approximation is a known mathematical problem, and Remes' type algorithms for finding the solution have been described. It is shown in this paper that the classical Parks-McClellan program can be converted into a general program for constrained approximation.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Constrained Chebychev approximation is a known mathematical problem, and Remes' type algorithms for finding the solution have been described. It is shown in this paper that the classical Parks-McClellan program can be converted into a general program for constrained approximation.

Key concepts: Chebyshev filter, Approximation theory, Finite impulse response, Approximation algorithm, Equioscillation theorem, Minimax approximation algorithm, Mathematical optimization, Applied mathematics

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