Compressed Sensing Signal Reconstruction Based on Bee Colony Algorithm
碩士 === 國立臺北科技大學 === 自動化科技研究所 === 107 === In this thesis, a signal reconstruction algorithm based on the artificial bee colony optimization (ABC) algorithm and the compressive sensing is proposed. By replacing the greedy algorithm in compressive sampling matching pursuit (CoSaMP) with ABC algorithm t...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/hr2bew |
| Summary: | 碩士 === 國立臺北科技大學 === 自動化科技研究所 === 107 === In this thesis, a signal reconstruction algorithm based on the artificial bee colony optimization (ABC) algorithm and the compressive sensing is proposed. By replacing the greedy algorithm in compressive sampling matching pursuit (CoSaMP) with ABC algorithm to select the related components from the measurement matrix, the accuracy of signal reconstruction is promoted. In addition, utilizing the optimized library and multi-core embedded system on the EVMK2H 66AK2H14 embedded board, the improved compression sensing signal reconstruction algorithm is implemented more efficiently. The results of computer simulation and hardware experiments show that the proposed algorithm can provide the better reconstruction quality.
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