Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
Compressive sensing (CS) is as an evolving research area in signal processing due to the advantages offered for signal compression. Based on the sparsity of signals, CS allows the sampling of sparse signals under the sub-Nyquist rate, and yet promises a reliable data recovery. To date, the implement...
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| 主要な著者: | , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/6227/1/P12458_6dbbe8c9e913d4e65ac8937a6dcea5be.pdf http://eprints.uthm.edu.my/6227/ |
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