書誌事項
- タイトル別名
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- Design of Sparse IIR Filters Based on LASSO
抄録
<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>
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 144 (2), 47-52, 2024-02-01
一般社団法人 電気学会
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詳細情報 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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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可