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作者:Shwetha A. Gangannawar and Saroja V. Siddmal
来源:[J].International Journal of Advanced Computer Research (IJACR), 2015, Vol.5 (18)ACCENTS
摘要:Compressive sensing (CS) is an evolving technique for data acquisition that promises sampling a sparse signal from a far fewer measurements than its dimension. Compressive sensing enables a potentially large reduction in the sampling and computation cost for sensing signals that ...
作者:Z.J. Xu , J.J. Zhang , Y. Zhang
来源:[C].IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012)2012IET
摘要:Compressed Sensing (CS) can project a high dimensional signal to a low dimensional signal by a random measurement matrix. In this paper, the signal reconstruction algorithm of Compressed Sensing is discussed and a new method is proposed to improve the speed of reconstruction and ...
作者:汪钰琪
来源:[D].湘潭大学  2015CNKI
摘要:... Discrete wavelet, gaussian random measurement matrix and OMP algorithm are selected as a three-aspect of compressive sensing, data of different sampling rates has been taken into simulation and the reconstruction results with different sampling rates have been analyzed.Thirdl...
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