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Proceedings Paper

Discrete frequency estimation using parametric filtering and the contraction mapping method
Author(s): John T. Barnett; Benjamin Kedem
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Paper Abstract

Recently several authors have investigated the use of parametric families of linear filters for discrete frequency estimation. The proposed methods are similar in that they use iterative filtering procedures for estimating the frequencies of underlying periodic components embedded in noise. In this paper we combine parametric filtering with a contraction mapping principle to recursively estimate the frequencies of discrete spectral components. By incorporating the contraction mapping idea with parametric filtering a fundamental property is determined which when satisfied, guarantees the convergence of the iterative procedure. Several examples are provided which illustrate the method.

Paper Details

Date Published: 1 November 1993
PDF: 8 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160430
Show Author Affiliations
John T. Barnett, Space & Naval Warfare Systems Command SYSCEN (United States)
Benjamin Kedem, Univ. of Maryland/College Park (United States)


Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)

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