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Sparse Signal Representation
using Overlapping Frames-Sparse Signal Representation using Overl apping Frames
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Sparse Signal Representation
using Overlapping Frames (matlab toolbox)-Sparse Signal Representation using Overl apping Frames (Matlab toolbox)
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机器人地图创建新算法，DP-SLAM源程序-Abstract—Probabilistic approaches have proved very successful
at addressing the basic problems of robot localization and
mapping and they have shown great promise on the combined
problem of simultaneous localization and ma
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一元稀疏多项式的表示及运算。根据多项式的结构特点，利用线性链表来实现多项式相加，结点中存放各项的系数和指数，构造相应的多项式。将链表初始化为空，将多项式中的每一项顺序插入链表中，并将链表中多项式按升幂排列。进行多项式加法是，先将其中一多项式a存入链表c中，然后将多项式b的每一项一次插入链表c中，最后得到结果多项式c。-Unary representation of sparse polynomials and operations. According to the structural cha
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一元稀疏多项式的表示及加法运算
(1) 多项式以指数递增的顺序输入。
(2) 设计的数据结构应有利于表示任意一元稀释多项式。
（3）输出原始多项式及运算结果。
-One yuan sparse polynomial representation and addition operations
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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
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三元组表示稀疏矩阵，实现稀疏矩阵的创建、输出、转置及两个系数矩阵的乘法。-Triples representation of the sparse matrix, sparse matrix creation, output, transpose, and the two coefficient matrix multiplication.
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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
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该算法实现了基于纹理特征的稀疏表示分类，代码注释清晰，容易理解(The algorithm implements the sparse representation based on texture features, and the code is clear and easy to understand.)
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Image super-resolution via sparse representation
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很好用的稀疏表示开发工具包，ksvd算法，按readme文件安装(A very good sparse representation of development toolkits)
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完成omp算法编程，其中加入了噪声及多种频率的信号完成了稀疏表征。(Programming of OMP algorithm with sparse representation)
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使用小波框架并结合稀疏表示，用于SAR图像的目标识别应用(Application of wavelet frame and sparse representation for target recognition in SAR images)
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SLEP稀疏正则化工具包；稀疏表示的文献和对应的一个程序包。文献已经放在里面叫manual，希望对大家有帮助(SLEP sparse regularization Toolkit; sparse representation of literature and corresponding package. The document has been put in it called manual, and I hope it will help everyone.)
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这是一篇关于字典学习的国内最新版综述，详细的描述了不同字典学习模型下的典型算法，对于稀疏表示领域的同学有一定的参考价值和作用。(This is a domestic latest edition of dictionary learning, which describes in detail the typical algorithms under different dictionary learning models. It has a certain reference value an
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提出了一种新的结构稀疏跟踪算法，它不仅利用候选目标及其局部块之间的内在关系，学习它们的联合稀疏表示，而且保留了各候选目标内的局部块中的空间布局结构。(A new structure sparse tracking algorithm is proposed. It not only uses the inherent relationship between candidate targets and their local blocks to learn their joint sparse
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多尺度多方向性的剪切波Shearlet变换优于小波变换，里面包含很多例子，可以直接运行，可以用于图像去噪，分割，增强等，是一个优于小波的图像稀疏表示工具(Shearlet transform of multi-scale and multi-directional shear wave is better than wavelet transform. It contains many examples and can run directly. It can be used for image
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基于Fisher字典学习的稀疏表示分类算法。(Sparse representation classification algorithm based on Fisher dictionary learning.)
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稀疏表示分类器应用于高光谱图像分类的MATLAB代码实现(MATLAB Code Implementation of Sparse Representation Classifier for Hyperspectral Image Classification)
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This package contains the code which is associated with the following papers:
Yu Liu, Zengfu Wang, "Simultaneous image fusion and denoising with adaptive sparse representation". IET Image Processing,vol.9, no.5 ,pp.347-357, 2015
Edite
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