Design of Sparse IIR Filters Based on LASSO
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- Iwakiri Ryo
- Graduate School of Advanced Science and Engineering, Hiroshima University
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- Nakamoto Masayoshi
- Graduate School of Advanced Science and Engineering, Hiroshima University
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- Bandoh Yukihiro
- Nippon Telegraph and Telephone Corporation
Bibliographic Information
- Other Title
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- LASSOに基づくスパースIIRフィルタの設計
Abstract
<p>We consider design of sparse IIR filters based on the least absolute shrinkage and selection operator (LASSO) for reducing the computation cost of IIR filters. The design algorithm is summarized as follows. First, we solve a constrained quadratic programming problem where the constraint is the positive realness with maximum pole radius. Next, after fixing the denominator coefficients, we apply the LASSO to the filter design problem so that the numerator coefficients include zero. Finally, we solve a constrained quadratic programming with zero coefficients constraints. Moreover, we confirm the effectiveness of the proposed method by using two design examples.</p>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 144 (2), 47-52, 2024-02-01
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390017522234925312
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- ISSN
- 13488155
- 03854221
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed