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十字链表数据结构
- 数据结构中关于十字链表的实现，十字链表可以很好的对稀疏矩阵进行效率很高的存储和计算。比如在通信纠错编码的ldpc编译码中就要用到这种数据结构-data structure on the realization of Chain Cross, Cross List can be good for sparse matrix highly efficient storage and computing. For example, in communications-correction 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
AnalgorithmusingtheSchurcomple-
- LDPC(Low-density-parity-check，低密度奇偶校验)码是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-LDPC (Low-density-parity-check, low-density parity check) codes are a class of sparse check matrix of linear block codes, is not only good perfo
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
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
Introduction-Compressed-Sensing
- 压缩感知（CS）理论是在已知信号具有稀疏性或可压缩性的条件下，对信号数据进行采集、 编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型，并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。 -Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compress
Compressed-Sensing-Theory
- 用压缩感知理论对信号数据进行采集、编解码,进行数据恢复。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型.-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible.
using-GA-in-antenna-array
- 提出了整数编码，动态调整交叉概率、变异概率，并将适应度函数设为最大相对旁瓣电平,一种改进遗传算法的优化方法来实现直线稀疏阵列的设计-Proposed integer coding, dynamic adjustment of crossover probability, mutation probability, and the fitness function is set to the maximum relative sidelobe level, an improved genetic
EE3
- 关于空间预编码的文章：Spatially Sparse Precoding in Millimeter Wave MIMO Systems。对研究空间预编码的研究者有用。-About spatially precoded article: Spatially Sparse Precoding in Millimeter Wave MIMO Systems. Useful for research on space pre-coding researchers.
sparseAutoencoder
- 关于神经网络中稀疏自编码的原理说明，该资料为英文原文-The principle of sparse self coding on the neural network, the information is in English
5G
- 稀疏码多址接入，就是应5G需求设计产生的一种非正交多址技术。在发送端通过多维调制和稀疏扩频将编码比特映射成SCMA码字，接收端通过多用户检测完成译码。-Sparse code multiple access is a kind of non orthogonal multiple access technology, which should be produced by the design of 5G demand. The coding bits are mapped into SCMA
ksvdsbox11-min
- KSVD 算法 K-SVD通过构建字典来对数据进行稀疏表示，经常用于图像压缩、编码、分类等应用(KSVD algorithm K-SVD sparse data is represented by building dictionaries, often used for image compression, coding, classification, and other applications)
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.)
107215802AnalysisKSVD
- 实现图像的稀疏编码，采用k-svd进行字典学习，omp算法进行稀疏表示系数的计算，内附有去噪例子(To achieve the image sparse coding, using K-SVD dictionary learning, OMP algorithm for sparse representation of the calculation of factors, with examples of denoising)
fast_sc
- 快速稀疏编码算法，关于稀疏表示的基本算法(Fast sparse coding algorithm and sparse representation algorithm)
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)
omp
- 正交匹配追踪(OMP)在稀疏分解与压缩感知重构，稀疏分解先于压缩感知提出，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。(Orthogonal Matching Pursuit (OMP) is used in sparse decomposition and compressive sensing reconstruction. Sparse dec
sharingcode-LCKSVD
- LC-KSVD算法代码,<<Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD>>(LC-KSVD algorithm code, < <Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD> > )