Least-squared Design of Sparse FIR Filters by Combinatorial Optimization
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- Itani Taro
- Graduate School of Engineering, Hiroshima University
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- Nakamoto Masayoshi
- Graduate School of Engineering, Hiroshima University
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- Konishi Katsumi
- Faculty of Computer and Information Sciences, Hosei University
Bibliographic Information
- Other Title
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- 組合せ最適化によるスパースFIRフィルタの最適設計
- 組合せ最適化によるスパースFIRフィルタの最適設計 : 分枝限定法の効率化
- クミアワセ サイテキカ ニ ヨル スパース FIR フィルタ ノ サイテキ セッケイ : ブンシ ゲンテイホウ ノ コウリツカ
- —An Improvement of Branch and Bound Method—
- —分枝限定法の効率化—
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Abstract
<p>In order to reduce the computation amount of FIR filters, we consider design sparse FIR filters by using combinatorial optimization. We also consider solve this optimization problem by using branch and bound method. The computation time for this optimization depends on the initial reference value of branch and bound method. This paper proposes the method to estimate the initial cost value to improve the efficiency for the sparse FIR filter design.</p>
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 140 (3), 276-282, 2020-03-01
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
- 1390002184878710784
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- NII Article ID
- 130007804370
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 030293793
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed