A Simple Improvement to Tufts-Kumaresan Method for Multiple Sinusoidal Frequency Estimation(Digital Signal Processing)

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概要

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• Tufts-Kumaresan (TK) method, which is based on linear prediction approach, is a standard algorithm for estimating the frequencies of sinusoids in noise. In this Letter, the TK algorithm is improved by attenuating the noise in the observation vector with the use of the reduced rank data matrix. It is shown that the proposed modification can provide smaller mean square frequency errors with lower threshold signal-to-noise ratios than the TK method and a total least squares solution.

• 社団法人電子情報通信学会の論文
• 2005-01-01

著者

• So Hing-cheung

  The Department Of Computer Engineering And Information Technology City University Of Hong Kong

• LEUNG Chi-Tim

  the Department of Computer Engineering and Information Technology, City University of Hong Kong

• Leung Chi-tim

  The Department Of Computer Engineering And Information Technology City University Of Hong Kong

関連論文

• A Simple Improvement to Tufts-Kumaresan Method for Multiple Sinusoidal Frequency Estimation(Digital Signal Processing)

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