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基于稀疏表示的图像超分辨算法，论文作者源代码-Image sparse representation based super-resolution algorithm, source code authors
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利用稀疏表示进行图像去噪时，需要生成两种学习字典，该源码比较了生成的两种字典的优劣-Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary
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互质阵列中稀疏表示理论完成DOA估计算法-Coprime complete array sparse representation theory DOA Estimation Algorithm
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人脸表情识别，稀疏表示，人脸表情图片，表情库。matlab程序实现，绝对可以调试运行。
毕业设计内容。-Facial expression recognition, sparse representation, facial expression, facial expression . Matlab programming, can debug the operation.
Graduation design content.
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压缩感知和稀疏表示恢复算法中的CosaMP贪婪算法。-The CoSaMp algorithm for compressed sensing and sparse representation.
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用在压缩感知或稀疏表示中的梯度投影稀疏重建算法，性能较好，速度较快。-The GPSR algorithm for compressed sensing and sparse representation.
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图像的稀疏表示及字典训练代码OMP和KSVD-Sparse representation of images and dictionary training code OMP and KSVD
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稀疏表示l1_ls算法,样本分类中很好用-Sparse representation l1_ls algorithm, sample classification is very good
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单样本人脸识别中，将训练样本分块，以增加训练样本的数量，构成字典基，用稀疏表示的方法求解人脸识别问题-Single sample of face recognition, the training sample block, in order to increase the number of training samples, a dictionary base, with sparse representation method to solve the problem of face re
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SAR图像的稀疏表示的重要示例，有样本的SAR图像可以调用-The representation of sar images.Including the datnadard images.
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信号稀疏表示，去噪处理，稀疏分解后重构性能非常好-Signal sparse representation, de-noising, sparse decomposition and reconstruction after the performance is very good
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详细描述了基于稀疏表示的图像超分辨率重建，-Detailed describes the image super-resolution reconstruction based on sparse representation
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KSVD算法，对于字典训练很实用，并且，对于基于稀疏表示方法，可以提高精度-KSVD algorithm for dictionary training is very practical，And, based on sparse representation method, can improve the precision
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图像的稀疏表示，用小波系数经过的构造的矩阵稀疏化后，用少数的系数表示图像。-Image sparse representation, constructed after the matrix of wavelet coefficients after thinning, with a small number of coefficients represent the image.
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This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
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ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 源码-ICCV paper 《Fisher Discrimination Dictionary Learning for Sparse Representation 》 CODE and pdf
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使用基于稀疏表示和字典学习的图像去噪研究方法，比一般的帧间差分算法等要高效。-Sparse representation and dictionary-based learning denoising methods, than the average frame difference algorithm to be efficient.
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基于稀疏表示的各类算法，有的可以直接运行，有的需要安装库文件-various sparse representation algorithms, and some can be run directly, and some need to install the library files
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对图像稀疏表示，可以运行出结果，MATLAB 图像稀疏表示代码，可以实现对输入图像的稀疏表示-Image sparse representation, you can run the results, MATLAB sparse representation code, can achieve a sparse representation of the input image
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关于稀疏表示的遥感图像融合——matlab代码-sparse representation
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