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H filtering for noise reduction using a total least squares estimation approach

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2 Author(s)
Shimizu, J. ; Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA ; Mitra, S.K.

A noise reduction algorithm for signals corrupted by additive unknown L2 white noise is proposed using an H filtering framework. The proposed algorithm consists of two steps: a signal enhancement step and a parameter estimation step, which are iterated at each instant. To weaken the dependence between the signal enhancement step and the parameter estimation step, a total least squares estimation step for the dynamical model parameters needed in the H filtering is introduced. The effectiveness of the proposed algorithm under low signal-to-noise ratio environments is demonstrated by simulation

Published in:

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on  (Volume:3 )

Date of Conference:

12-15 May 1998