DocumentCode :
417396
Title :
Consistency analysis of a frequency domain subspace algorithm for multi-component harmonic retrieval
Author :
Gunnarsson, Joakim ; McKelvey, Tomas
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
Volume :
2
fYear :
2004
fDate :
17-21 May 2004
Abstract :
A new frequency domain algorithm for multi-component harmonic retrieval has been developed recently. The method is based on using discrete Fourier transform (DFT) data and enables the user to select frequency sub-bands within which the frequencies of the harmonics of interest are known to reside. The technique provides a very good attenuation of colored noise and other disturbances residing outside the frequency band of interest. The paper presents a consistency analysis of the subspace based estimation algorithm. The analysis provides sufficient conditions for consistency of the sinusoidal frequency estimates in terms of required number of DFT data. A small numerical example is also presented comparing the new approach with the well known ESPRIT method. The result clearly indicates that the method has a large potential.
Keywords :
discrete Fourier transforms; frequency estimation; frequency-domain analysis; harmonic analysis; harmonics; random noise; signal processing; DFT; ESPRIT; colored noise attenuation; consistency analysis; discrete Fourier transform; frequency domain algorithm; frequency domain subspace algorithm; multi-component harmonic retrieval; sinusoidal frequency estimation; Algorithm design and analysis; Attenuation; Colored noise; Computational complexity; Discrete Fourier transforms; Frequency domain analysis; Frequency estimation; Harmonic analysis; Sufficient conditions; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326299
Filename :
1326299
Link To Document :
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