Signal Reconstruction via H∞ Sampled-Data Control Theory—Beyond the Shannon Paradigm
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説明
This paper presents a new method for signal reconstruction by leveraging sampled-data control theory. We formulate the signal reconstruction problem in terms of an analog performance optimization problem using a stable discrete-time filter. The proposed H∞ performance criterion naturally takes inter-sample behavior into account, reflecting the energy distributions of the signal. We present methods for computing optimal solutions which are guaranteed to be stable and causal. Detailed comparisons to alternative methods are provided. We discuss some applications in sound and image reconstruction.
収録刊行物
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- IEEE Transactions on Signal Processing
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IEEE Transactions on Signal Processing 60 (2), 613-625, 2012-02
IEEE
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詳細情報 詳細情報について
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- CRID
- 1050001335729252352
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- NII論文ID
- 120003988227
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- NII書誌ID
- AA10788333
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- ISSN
- 1053587X
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- HANDLE
- 2433/154609
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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- IRDB
- CiNii Articles
