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压缩感知的主要研究内容有信号的稀疏表达、观测矩阵的设计和信号恢复。精确的信号恢复算法是压缩感知中的关键。因此本文在压缩感知理论框架下研究恢复算法中的凸优化算法- Compressive sensing offers a variety of research fields, including signal sparse representation, sensing matrix design, signal reconstruction. Accurately signal reconstr
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压缩感知创始人之一大牛陶哲轩,贝叶斯压缩感知,代码包,含使用说明-Compressed Sensing co-founder Daniel Terence Tao, Bayesian Compressive Sensing, code package containing instructions for use
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bp重构算法程序,压缩感知重构算法,包含测试程序(BP reconstruction algorithm program, compressive sensing reconstruction algorithm, including test program)
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