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Adaptive system identification using time-varying Fourier transform

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3 Author(s)
Benisty, H. ; Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel ; Avargel, Y. ; Cohen, I.

In this paper, we introduce a time-varying short-time Fourier transform (TV-STFT) for representing discrete signals. We derive an explicit condition for perfect reconstruction using time-varying analysis and synthesis windows. Based on the derived representation, we propose an adaptive algorithm that controls the length of the analysis window to achieve a lower mean-square error (MSE) at each iteration. When compared to the conventional multiplicative transfer function approach with a fixed length analysis window, the resulting algorithm achieves faster convergence without compromising for higher steady state MSE. Experimental results demonstrate the effectiveness of the proposed approach.

Published in:

Applications of Digital Information and Web Technologies, 2009. ICADIWT '09. Second International Conference on the

Date of Conference:

4-6 Aug. 2009