搜索资源列表
Lp
- Algorithms for non-convex sparsity promoting analysis and synthesis priors
romp
- 一种压缩感知重构算法ROMP 需要已知稀疏度-A compressed sensing reconstruction algorithm ROMP needs known sparsity
toolbox_sparsity
- sparsity 工具箱,包括稀疏信号的感知压缩和多种解码恢复算法。-tool_sparsity, including sparse signal compression and recovery.
Seismic-ground-roll-separation-using-sparsity-pro
- this book is good in seismic ground roll attenuation by the Bayesian algorithm in curvelet domain
fmetis
- A fortran implementation of the METIS library, basically a graph partitioning algorithm, used for domain decompositon (CFD), finding sparsity patterns (linear algebra), etc.
CS_OMP
- 压缩感知方法演示，1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log
gini
- 一种常用的关于信号稀疏度测试的指标，值得拥有。-A commonly used test for signal sparsity indicators, worth having.
BCS
- 压缩感知程序源码，Blind compressed sensing (BCS)不需要在采样和恢复阶段预先知道稀疏基。源码对于研究压缩感知前沿具有很好的借鉴意义。-The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear
Video-Inpainting-using-Sparsity
- paper for the video inpainting tecniques
Patch_Sparsity
- 算法仿真：论文《Image Inpaiting by Patch Propagation Using Patch Sparsity》中提出的图像修复算法的； 1）使用了OpenCV2.2.0开源机器视觉库，IDE为VS2010 2）设置系统环境变量OPENCV_DIR为OpenCV的安装路径，如C：\OpenCV2.2；VS2010属性页文件依赖于此环境变量，在Path中添加C：\OpenCV2.2\bin，更具体的环境配置可以查看OpenCV相关手册设置属性页文件或Email:zhen
BregmanCookbook_v30
- 基于bregman算法在一维、二维、三维信号处理中的应用matlab工具箱-This toolbox provides the source code associated with the Bregman Cookbook Doc: - BregmanCookbook.pdf In 1D: -L1_SplitBregmanIteration.m : performs the recovery of a sparse signal affected by a kno
tutorial-compression-perception
- tutorial压缩感知代码。压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号-The tutorial compression-aware code. Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory
paper3
- Sparsity and incoherence in compressive sampling.pdf
CS_OMP
- 1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-1-D signal the realization of compressed sensing (orthogonal to match the tracking method Orthogonal Matching Pursuit) number of measurements M = K* log (N/K),
Clustering-Sparse-Representation
- 參考文獻「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」 Clustering-based Sparse Representation 的 matlab代碼-「Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering」and Clustering-based Sparse
paper_about_cs
- 一种改进的稀疏度自适应匹配追踪算法.pdf-An improved sparsity adaptive matching pursuit algorithm. Pdf
Wavelet_OMP
- 本程序实现图像LENA的压缩传感,包括图像的稀疏表示，图像重构等等子函数，运行效果良好-The program image LENA compressive sensing, including the sparsity of the image, image reconstruction, and so subfunction running well
omp
- 正交匹配追踪算法，是一种压缩感知中的重构算法，优点是复杂度低，缺点是需要预知信号的稀疏度-Orthogonal matching pursuit algorithm is a compressed sensing reconstruction algorithm, the advantages of low complexity, the disadvantage is the need to predict the sparsity of the signal
cs_explain_radar
- 压缩感知在雷达中的应用 很好的一个介绍 雷达成像中惯用的方法是匹配滤波，它之所以 能够处理低信噪比的问题，是因为它利用了回波数据的冗余信息。也就是目前雷达成像算法之所以成功的关键是具有足够 多的冗余信息。现在，在雷达成像中使用压缩感知恰好是反其道而行-Compressed Sensing(CS)theory is a great breakthrough of traditional Nyquist sampling theory，it accomplishes cornpressive
Blind-Deconvolution-
- Blind Deconvolution Using a Normalized Sparsity Measure 的代码-matlab code for Blind Deconvolution Using a Normalized Sparsity Measure