Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor

This paper presents a new l1-RLS method to estimate a sparse impulse response estimation. A new regularization factor calculation method is proposed for l1-RLS that requires no information of the true channel response in advance. In addition, we also derive a new model to compensate for uncertainty...

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Bibliographic Details
Published in:Applied sciences 2019-01, Vol.9 (1), p.202
Main Authors: Lim, Junseok, Lee, Seokjin
Format: Article
Language:English
Subjects:
Acoustics
Algorithms
Economic models
Engineering
Identification
Impulse response
l1-regularized RLS
Regularization
regularization factor
room impulse response
Signal processing
Sparsity
total least squares
Uncertainty
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Summary:This paper presents a new l1-RLS method to estimate a sparse impulse response estimation. A new regularization factor calculation method is proposed for l1-RLS that requires no information of the true channel response in advance. In addition, we also derive a new model to compensate for uncertainty in the regularization factor. The results of the estimation for many different kinds of sparse impulse responses show that the proposed method without a priori channel information is comparable to the conventional method with a priori channel information.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9010202