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联合稀疏表示的源码程序-Efficient Recovery of Jointly Sparse Vectors joint sparse representation of the source program
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基于核函数的字典学习方法，包含KSVD，OMP以及核KSVD和核OMP方法。可用于字典学习或稀疏表示。-Dictionary-based learning kernel, including KSVD, OMP and OMP nuclear KSVD and nuclear methods. It can be used for learning dictionary or a sparse representation.
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simutaneous OMP based Sparse Representation algorithm,在多聚焦图像融合中效果很好。-simutaneous OMP based Sparse Representation algorithm,have better result than SR model(use the traditional OMP algorithm)
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图像处理，稀疏表示，字典去噪，ksvd，人脸识别-Image processing, sparse representation, dictionary denoising, KSVD, face recognition
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稀疏流形聚类。作者是大名鼎鼎的Ehsan Elhamifar。-Sparse Manifold Clustering and Embedding (SMCE) is an algorithm based on sparse representation theory for clustering and dimensionality reduction of data lying in a union of nonlinear manifolds.
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源码实现了使用基于稀疏表示的人脸识别算法。使用GPSR作为l1模最小化方法。-Source code to achieve the use of sparse representation based on the face recognition algorithm. Using GPSR as a method for minimizing the L1 norm.
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通过稀疏重构一幅自然图像，使得该图像重新生成，同时找出稀疏系数。-One kind of denoising signal sparse representation
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核稀疏用于字典学习和稀疏表示，可用于纹理分类等模式识别问题。-Nuclear sparse dictionary for learning and sparse representation can be used for texture classification pattern recognition problem.
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最小角度回归分步算法（LARS）,是稀疏表示求解中常用的算法-LARS is a commonly used algorithm for sparse representation
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运用MCA算法，进行图像的分离，通过稀疏表示的K-SVD算法，将图像分为卡通和纹理部分-The MCA algorithm is used to separate the images. The sparse representation of the K-SVD algorithm is used to separate the images into cartoons and textures
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实现论文 基于稀疏表示的图像超分辨率《Image Super-Resolution Via Sparse Representation》中的Figure2，通过对100000个高分辨率和低分辨率图像块训练得到的高分辨率图像块字典，字典原子总数为512，图像块尺寸大小为9X9.-The Figure2 in 《Image Super-Resolution Via Sparse Representation》
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信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。-Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-
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稀疏表示中的测试程序，有自己的见解和详细介绍-Sparse representation of the test program, have their own opinion and details
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稀疏表示经典著作
John Wright et al, Robust Face Recognition via Sparse Representation , PAMI 2009的程序-# impFaceRecognition
A Matlab implementation of Face Recognition using Sparse Representation the original paper:
John Wright et al, Robust F
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joint sparse representation
(JSR)方法用于车内语音增强的特征降噪算法-address reducing the mismatch between training
and testing conditions for hands-free in-car speech recognition. It
is well known that the distortions caused by background noise,
channel effec
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基于小字典训练和过完备稀疏表示的语音增强算法-Small dictionary-based voice training and over-complete sparse representation of enhancement algorithm
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Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation
Fang, Leyuan and Li, Shutao and Kang, Xudong and Benediktsson, Jon Atli Geoscience and Remote Sensing, IEEE Transactions on:2014
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image fusion using sparse representation
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matlab中的cvx工具包,适用于windows64位系统，在信号的稀疏表示分类领域有很大的用处，网络上有此工具包的安装说明，1要先解压2移动到matlab的一个空文件夹下3打开matlab，将当前路径设置为此文件夹下的cvx文件夹4在命令行窗口输入cvx_setup-matlab in cvx toolkit for windows64 bit systems, in a sparse representation of the signal areas of the classificat
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利用超限学习机（ELM）和稀疏表示(SRC)进行图像分类。Matlab完整源码。-Extreme learning machine and adaptive sparse representation for image classification
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