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Adaptive ESPRIT algorithm based on the past subspace tracker

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3 Author(s)
R. Badeau ; Ecole Nat. Superieure des Telecommun., Paris, France ; G. Richard ; B. David

Summary form only given. Sinusoidal modeling is a powerful tool for audio signal processing, which represents the signal as a sum of sinusoids whose frequencies may vary over time. In most applications, the estimation and tracking of multiple frequencies is achieved by means of the Fourier analysis. Concurrently, we propose a new frequency estimation and tracking method, based on two algorithms derived from the concept of signal subspace. An application to audio is presented.

Published in:

Applications of Signal Processing to Audio and Acoustics, 2003 IEEE Workshop on.

Date of Conference:

19-22 Oct. 2003