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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| Format: | Article |
| Language: | English |
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MDPI AG
2019-01-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/9/1/202 |
| _version_ | 1818971380894400512 |
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| author | Junseok Lim Seokjin Lee |
| author_facet | Junseok Lim Seokjin Lee |
| author_sort | Junseok Lim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T14:51:28Z |
| format | Article |
| id | doaj.art-3c435a8ae8a849868327a1c9911a06ea |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-20T14:51:28Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3c435a8ae8a849868327a1c9911a06ea2022-12-21T19:36:57ZengMDPI AGApplied Sciences2076-34172019-01-019120210.3390/app9010202app9010202Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization FactorJunseok Lim0Seokjin Lee1Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Gwangjin-gu, Seoul 05006, KoreaSchool of Electronics Engineering, College of IT Engineering, Kyungpook National University, Daegu 41566, KoreaThis 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.http://www.mdpi.com/2076-3417/9/1/202l1-regularized RLSsparsityroom impulse responsetotal least squaresregularization factor |
| spellingShingle | Junseok Lim Seokjin Lee Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor Applied Sciences l1-regularized RLS sparsity room impulse response total least squares regularization factor |
| title | Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor |
| title_full | Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor |
| title_fullStr | Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor |
| title_full_unstemmed | Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor |
| title_short | Regularization Factor Selection Method for l1-Regularized RLS and Its Modification against Uncertainty in the Regularization Factor |
| title_sort | regularization factor selection method for l1 regularized rls and its modification against uncertainty in the regularization factor |
| topic | l1-regularized RLS sparsity room impulse response total least squares regularization factor |
| url | http://www.mdpi.com/2076-3417/9/1/202 |
| work_keys_str_mv | AT junseoklim regularizationfactorselectionmethodforl1regularizedrlsanditsmodificationagainstuncertaintyintheregularizationfactor AT seokjinlee regularizationfactorselectionmethodforl1regularizedrlsanditsmodificationagainstuncertaintyintheregularizationfactor |