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Professor-Lu-Wusheng-lecture
- 陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。-Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short
extr_onesrc2
- 基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号-Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal
GroupSparseBox
- 赖斯大学信号与信息处理实验室-稀疏分析试验箱-Signal & Information Processing Lab.-sparse anolog box
A-REMARK-ON-COMPRESSED-SENSING
- 一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Comp
MSBL_code
- 稀疏贝叶斯学习是一种很好压缩感知，信号恢复方法。-sparse bayesian learning is a good cs method for coefficient recovery.
sparse_MP
- 信号稀疏表示的小程序，适合初学者入门。采用匹配追踪算法-Signal sparse representation of small procedures, suitable for beginners.
DWT
- 小波变换程序，用于对一维信号，二维信号进行稀疏变换-wavelet transform
fbmp_v1_3.tar
- 经典的稀疏重构算法，即快速贝叶斯追踪算法，恢复出的信号精度高，恢复算法复杂度低-Classic sparse reconstruction algorithm, namely the bayesian tracking algorithm quickly, to restore the signal of high precision, low recovery algorithm complexity
commands
- [ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统，有助于学习压缩感知-[Convex_optimization.rar]- convex optimization package that contains a variety of convex op
keywords
- [ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统,有助于学习压缩感知-[Convex_optimization.rar]- convex optimization package that contains a variety of convex op
mp
- 基于GA和MP的信号稀疏分解matlab程序来自于信号与图像的稀疏分解及初步应用-Sparse signal sparse decomposition of MP GA and matlab program signal and image decomposition and its application based on
Compressed-sensing-HK
- 压缩感知信号重构的算法，用于学习，先稀疏，再观测系数，最后重建- compression algorithm used to study and review, thin, and observation of the reconstruction and
liu5
- 对频域稀疏的简单信号进行仿真，滤波器系数服从贝努利分布-The frequency domain signal simulation sparse simple filter coefficients Bernoulli distribution