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Adaptive Peak Frequency Estimation Using a Database of PARCOR Coefficients

Abstract

This paper presents an adaptive peak frequency estimation method using a database that stores PARCOR coefficients as key attributes and the corresponding peak frequencies as nonkey attributes. The least-square lattice algorithm is used to recursively estimate the PARCOR coefficients to adapt to changing circumstances. The nearest neighbor to the current PARCOR coefficient is retrieved from the database, and the corresponding peak frequency is regarded as the estimation. A simultaneous execution of database construction and peak estimation with database update is performed to accelerate the processing time and to improve the estimation accuracy.

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Correspondence to Tetsuya Watanabe.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Watanabe, T., Iiguni, Y. Adaptive Peak Frequency Estimation Using a Database of PARCOR Coefficients. EURASIP J. Adv. Signal Process. 2005, 219856 (2005). https://doi.org/10.1155/ASP.2005.1127

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  • DOI: https://doi.org/10.1155/ASP.2005.1127

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