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fast_sc.tgz
- This a source code for sparse coding algorithm: Reference: Efficient sparse coding algorithms Honglak Lee, Alexis Battle, Raina Rajat and Andrew Y. Ng. In NIPS 19, 2007. -This is a source code for sparse coding algorithm: Reference
LDPC
- LDPC码编解码仿真程序，BSC、AWGN信道，sparse编码-LDPC code decoding simulation program, BSC, AWGN channel, sparse coding
sapa2004
- Separation of Sound Sources by Convolutive Sparse Coding
SSteganographt
- 密写编码技术以占用较多的载体数据为代价来减少对载体数据的修改量,从而降低信息隐藏引起的失真. 本文首先将密写编码方法的构造转化为一个数据的稀疏表示问题,然后提出出密写编码构造算法. 利用该构造算法可得到一系列密写编码方法,并进一步研究密写编码的组合形式,在不同占用率条件下获得了良好的编码性能,优于矩阵密写编码和游动密写编码. -Steganography to occupy more vector data to reduce the cost of the modifications o
FastLaplace
- 压缩感知的快速Laplace恢复算法,算法适用于超完备字典-the Beyes recovery algorithms are similar to the sparse coding based on the over-complete dictionary.
fast_sc
- 稀疏编码matlab源代码 论文：Efficient sparse coding algorithms-SPARSE CODING+CODE SPARSE CODING+CODE SPARSE CODING+CODE
CS_recovery_algorithms
- There are many compressed sensing (CS) recovery algorithms that have been proposed. Here I list some of them, and provide the corresponding experimental results. Essentially, the recovery algorithms are similar to the sparse coding based on the o
omp-column
- 基于字典学习的语音增强中稀疏编码计算稀疏矩阵的一种算法，称作OMP。与一般的OMP不同，本程序针对列向量进行计算，结合给出的总体程序以及KSVD of speech enhancemant.rar文件可以进行字典学习语音增强。-Enhanced sparse coding algorithm to calculate a sparse matrix, called the dictionary-based learning OMP voice. OMP different with the ge
toolbox-spams_v2.5
- 字典学习及稀疏编码 非常好的工具箱-dictionary learning and sparse coding perfect toolbox!!!!!!!!!!!!
sparsecoding
- 能够实现Sparse Coding，对IMAGES.mat文件进行训练。-To achieve Sparse Coding, carries on the training to the IMAGES.mat file
SRC
- 稀疏编码能够快速，准确，低代价地表示自然图像的视觉神经方面的能力，把稀疏编码的方法运用到分类中的机器学习方法，就叫做SRC。此处提供SRC算法代码。-Sparse coding has the rapid, accurate and low cost ability to display natural images. The method of sparse coding is applied to the classification of machine learning methods
Exercise10-Sparse-Coding
- 在windows下的MATLAB实现的深度学习的稀疏自编码器的代码-（windows） sae inMATLAB
SPL-MaxLP-IEEE Letter2016
- Linear prediction (LP) is an ubiquitous analysis method in speech processing. Various studies have focused on sparse LP algorithms by introducing sparsity constraints into the LP framework. Sparse LP has been shown to be effective in several issu
gait-sp-beta1.tar
- 本代码主要是稀疏编码的方法来进行步态识别的，识别率高，错误率低。(This code is mainly sparse coding method for gait recognition, high recognition rate, low error rate.)
Desktop
- 压缩感知，在线字典学习，稀疏编码，矩阵优化(Compression perception, online dictionary learning, sparse coding, matrix optimization)