NDLI: A new RLS algorithm based on the variation characteristics of a room impulse response

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A new RLS algorithm based on the variation characteristics of a room impulse response

Content Provider	IEEE Xplore Digital Library
Author	Makino, S. Kaneda, Y.
Copyright Year	1994
Description	Author affiliation: NTT Human Interface Labs., Tokyo, Japan (Makino, S.; Kaneda, Y.)
Abstract	The paper proposes a new adaptive algorithm (called the ES-RLS algorithm) with double the convergence speed of the conventional RLS algorithm. Makino et al. (1993) showed that the variation of a room impulse response becomes progressively smaller along the series by the same exponential ratio as the impulse response. The ES-RLS algorithm is derived by incorporating these variation characteristics into the conventional RLS algorithm using Kalman filter theory, which gives physical meaning to the RLS algorithm. The ES-RLS algorithm adjusts coefficients with large errors in large steps and coefficients with small errors in small steps. Computer simulations demonstrated that the new adaptive algorithm converged twice as fast as the conventional RLS algorithm.<>
File Size	397513
File Format	PDF
ISBN	0780317750
ISSN	15206149
DOI	10.1109/ICASSP.1994.390012
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-19
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resonance light scattering Echo cancellers Adaptive algorithm Convergence Least squares approximation Finite impulse response filter Electrostatic precipitators Computer errors Computer simulation Feedback
Content Type	Text
Resource Type	Article

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