说明：神经网络稀疏自编码器的实现；从给定的很多张自然图片中截取出大小为8*8的小patches图片共10000张，现在需要用sparse autoencoder的方法训练出一个隐含层网络所学习到的特征。

说明：稀疏矩阵分解算法,包括稀疏，流形学习，降噪，降维等

说明：Compressive sensing is the reconstruction of sparse images or signals very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can allow reconstruction many fewer k-space samples, thereby reducing scanning time. Previous work has shown that nonconvex optimization reduces still further the number of samples required for reconstruction, while still being tractable. In this work, we extend recent Fourier-based algorithms for convex optimization to the nonconvex setting, and obtain methods that combine the reconstruction abilities of previous nonconvex approaches with the computational speed of state-of-the-art convex methods.

说明：Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This is based on the principle that, through optimization, the sparsity of a signal can be exploited to recover it far fewer samples than required by the Shannon-Nyquist sampling theorem.

说明：Sparse MRI The application of compressed sensing for rapid MR imaging

说明：程序功能是将Sparse Triplet格式的稀疏矩阵转换为Harwell Boeing格式的稀疏矩阵

说明：程序功能是将Sparse Triplet格式的稀疏矩阵转换为MATLAB中的稀疏矩阵

说明：程序功能是将Sparse Triplet格式的稀疏矩阵转换为Matrix Market格式的矩阵

说明：Sparse_CoClust无监督聚类,用于医学分子分型分析和基因选择

说明：With sparse matrix computation

说明：toolbox for dictionary learning and matrix factorization: SPAMS-a SPArse Modeling Software, v2.5

说明：关于文献“ Laplacian Regularized Low-Rank Representation and Its Applications”的matlab 源码

说明：simutaneous OMP based Sparse Representation algorithm,在多聚焦图像融合中效果很好。

说明：orthogonal least squares algorithms for sparse signal in MATLAB.

说明：FISTA block sparse 压缩感知加速恢复算法

说明：Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks

说明：就是Olshausen & Field 1996, Emergence of simple cell receptive field properties by learning a sparse code for natural images 这篇文章中的方法

说明：斯坦福公开课提供的深度学习稀疏编码器的练习代码！

说明：盲源分离程序代码 用于信号处理和模态识别

说明：Take categorical data matrix and transform whole matrix to binary sparse 1ofM matrix, keeping track of what came where. Ideal for any form of count-based probabilistic analysis.

说明：稀疏重建联合字典训练用于超分辨率重建，基于正则化框架

说明：这个代码是图像标注中基于图模型的稀疏图算法的代码

说明：信号的稀疏表示，包含需要的cvx文件，有【15，20】的信号为例

说明：稀疏编码的概念来自于神经生物学。生物学家提出，哺乳类动物在长期的进化中，生成了能够快速，准确，低代价地表示自然图像的视觉神经方面的能力。我们直观地可以想象，我们的眼睛每看到的一副画面都是上亿像素的，而每一副图像我们都只用很少的代价重建与存储。我们把它叫做稀疏编码，即Sparse Coding.本文提供稀疏编码的一个实例

说明：用极限稀疏矩阵对图像分类，该方法快速简单，代码少，效果好

说明：general tool box for ksvd algorithm in dictionary learning for sparse representation

说明：深度学习的stacked convolution sparse autoendoer，适合初学者学习深度学习的

说明：数据集稀疏化然后用典型相关分析进行降为再分类

说明：压缩感知信号恢复算法OMP和CoSaMP算法，常用的算法

说明：SRC-sparse representation-based classifier .基于稀疏表达的分类。