Skip to main content

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.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Tetsuya Watanabe.

Rights and permissions

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.

Reprints and Permissions

About this article

Cite this article

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

Download citation

Keywords and phrases:

  • peak frequency
  • database retrieval
  • AR spectrum
  • PARCOR coefficient
  • adaptive estimation