For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
A Simple Improvement to Tufts-Kumaresan Method for Multiple Sinusoidal Frequency Estimation
Hing-Cheung SO Chi-Tim LEUNG
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2005/01/01
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Digital Signal Processing
frequency estimation, multiple sinusoids,
Full Text: PDF>>
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.