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shawei
- 压缩传感引论(沙威博士)：压缩感知如门级文章，对正交匹配追踪算法进行了详细的阐述。-Compressed sensing cited theory (Savit Ph.D.): compressed sensing, such as gate-level article on the orthogonal matching pursuit algorithm in detail.
CompressSensing_2PPT
- 压缩感知技术中两篇重要的PPT文档，来自海外，有助于理解基本匹配算法及其拓展，以及近三年来CS研究进展。-Compressed sensing technology in two important PPT document, from overseas, helping to understand the basic matching algorithm and its development, as well as the past three years CS research progr
基于压缩感知的信号重构算法
- Candes等证明了信号重建问题可以通过求解最小 范数问题解决，但Donoho指出，求解最小 范数是一个NP问题，需要穷举 中非零值的所有 中排列可能，因而无法直接求解。此后，研究人员提出了一系列求得次最优解的算法，主要包括最小 范数法、贪婪迭代匹配追踪系列算法等。
compressive-sensing
- 压缩感知中经典算法的matlab代码，如包含典型的匹配追踪算法，子空间追踪算法等等。-Compressed sensing classical algorithm matlab code, such as those containing the typical matching pursuit algorithm, subspace tracking algorithms and so on.
CS_KM
- 现有的贪婪迭代类压缩感知重构算法均基于最小二乘对信号进行波形估计，未考虑到可能将量测噪声引入信号估计的情况．针对以上不足，提出了一种基于线性Kalman滤波的压缩感知弱匹配去噪重构算法-Existing greedy iterative reconstruction algorithms class compressed sensing the signal waveform based on least squares estimation does not take into account
压缩感知
- 本文分别以稀疏基有离散余弦变换基（DCT）和快速傅立叶变换基（FFT）做为稀疏基，高斯随机矩阵、部分哈达玛矩阵为测量矩阵，L1范数、正交匹配追踪算法（OMP）为重建算法进行压缩感知算法实现。(In this paper, DCT and FFT are used as sparse basis, Gauss random matrix and partial Hadamard matrix are used as measurement matrix, L1 norm and OMP are u