Abstract
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. Copyright © 2005 The Institute of Electronics, Information and Communication Engineers.
| Original language | English |
|---|---|
| Pages (from-to) | 381-383 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E88-A |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2005 |
Research Keywords
- Frequency estimation
- Multiple sinusoids
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