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code
- 稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
Compresser
- 一种二值图象无损压缩算法 南京理工大学电光学院 【摘 要】利用稀疏矩阵和差分编码对二色图像进行压缩保存，在通过图像的0,1矩阵建立，矩阵一维化，差分量化编码，写文件来压缩。在电子档案存储，CAD制图信息化存储有极高的应用价值。 【关键字】计算机 二值图像 稀疏矩阵 无损压缩 编码 -A binary image lossless compression algorithm for electro-optic Nanjing University of Technology an
LDPCBSN
- LDPC码既低密度奇偶校验码（Low Density Parity Check Code，LDPC），它由Robert G.Gallager博士于1963年提出的一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低, 结构灵活，是近年信道编码领域的研究热点，目前已广泛应用于深空通信、光纤通信、卫星数字视频和音频广播等领域。LDPC码已成为第四代通信系统(4G) -LDPC codes BER simulation under AWGN channel.
SPAMS_v1.02_win32.tar
- 一种通用的稀疏编码方法，sparse coding，在图像去噪，目标识别等方面有着广泛的应用。-A generic sparse coding, sparse coding, in image denoising, object recognition have a wide range of applications.
Improved-non-negative-sparse-coding-algorithm
- 改进的非负稀疏编码图像基学习算法Improved non-negative sparse coding algorithm for image-based Learning-Improved non-negative sparse coding algorithm for image-based Learning
KSVD_Matlab_ToolBox
- 图像稀疏编码的一种方法，可用于基于稀疏表示的图像压缩、去噪等-Sparse image coding method can be used for sparse representation-based image compression, denoising, et
snmf
- 稀疏非负矩阵分解，稀疏非负矩阵分解（SNMF）在线形稀疏编码理论的基础上将大量数据分解成正稀疏分量的一种算法-SNMF，Sparse non-negative matrix factorization
u3vw1x.ZIP
- 基于图像导数框架和非负稀疏编码的颜色恒常计算方法Based on image derivative frame and the non negative sparse coding of color constancy computation method-Based on image derivative frame and the non negative sparse coding of color constancy computation method
paper1
- 一种基于稀疏编码的多核学习图像分类方法.pdf-Based on sparse coding the multicore learning image classification method. Pdf
CVPR09-ScSPM
- 稀疏编码matlab代码Linear Spatial Pyramid Matching Using Sparse Coding-sparse coding (matlab code)
Matlab-Package-Sparse
- 这是Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing书中对应的实现程序，对理解书中所讲理论有很好的帮组，这本书是学习稀疏编码和压缩感知的一本很好的书-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing book cor
SAE
- 深度学习中稀疏编码的C语言程序,是根据斯坦福深度学习的教程MATLAB的代码改写的-Depth learning sparse coding in C language program is based on the Stanford deep learning tutorial MATLAB code rewrite
Exercise1-Sparse-Autoencoder
- 网址：http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder斯坦福深度学习的教程，这个是稀疏编码的的练习，可以直接运行-URL: http://deeplearning.stanford.edu/wiki/index.php/Exercise:Sparse_Autoencoder Stanford deep learning tutorial, this is a sparse coding exer
fast_sc1
- 基于patch块的稀疏编码的matlab代码的实现，涉及到基和系数最小化的优化问题-Based on patch block sparse coding matlab code to achieve that relates to the base and the coefficient minimization optimization problem
KSVD
- 本程序可用于字典学习，稀疏编码，包含MOD,OMP函数-DICTIONARY LEARNING
CVPR-ScSPM
- 有关线性动态系统的稀疏编码和字典学习的Matlab源代码(Matlab source code about Sparse Coding and Dictionary Learning with Linear Dynamical Systems)
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
稀疏分解
- 信号稀疏表示的目的就是在给定的超完备字典中用尽可能少的原子来表示信号，可以获得信号更为简洁的表示方式，从而使我们更容易地获取信号中所蕴含的信息，更方便进一步对信号进行加工处理，如压缩、编码等(Signal sparse representation is to overcomplete dictionary given in as little as possible to represent atomic signal, signal can be more succinct represen
卷积神经网络与稀疏编码
- 关于稀疏编码的与卷积神经网络关系的深入解读(In-depth interpretation of the relationship between sparse coding and convolution neural networks)