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基于压缩感知的纹理图像分类，介绍了一种新的高效算法：分类压缩感知。与一般压缩感知及其他方法在四大纹理数据库上对比。有原文献及自己的译文-Introduced a new efficient algorithm based on compressed sensing texture image classification, compressed sensing: Category. Original literature and translation
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该文件包含了压缩感知理论基础教程及教程实践举例的程序实现源码。该教程从基础的抽样定理开始，傅里叶变换 小波变换等用于压缩的教程，最后，引入压缩感知理论，该方法的基础及优点 实现。-This file contains the program source compression perception theory based tutorial and tutorial practice example. The tutorial is to start from the basis of the
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一些关于压缩感知的小程序，主要是压缩感知的重构算法-The compressed sensing applet compressed sensing reconstruction algorithm
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实现图像的分块压缩感知重建，DCT变换，OMP重构算法-Image block compressed sensing reconstruction, DCT transform OMP reconstruction algorithm
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几篇关于压缩感知方面的文章，都是大牛的作品，英文的，希望对研究这方面的同志有帮助-Several articles on compressed sensing aspects are the works of Daniel, the English, the comrades of research in this area
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根据压缩传感(Compressed Sensing，cs)N论，首次提出了短时电能质量扰动信号的压缩采样方法，该方法突破了奈奎斯特采样频率的限制，实现了低于奈奎斯特采样频率的低速率采样。文中对比分析了CS理论与传统采样理论，研究了cS短时电能质量信号压缩采样的实现方法，包括：测量矩阵的构建、稀疏基的选取和电能质量信号快速贝叶斯匹配追踪重构算法(FBMP)-Compressed sensing ( Compressed Sensing , cs ) N theory , first propose
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详细地描述了压缩感知原理的知识，还有做了进一步仿真，验证了技术上的可行性-Detailed descr iption of a compressed sensing principle of the knowledge, as well as do the further simulation to verify the technical feasibility of
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压缩感知源码，很实用，供初学者参考，参考源码可快速上手。-Compressed sensing source, very useful reference for beginners.
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基于压缩感知理论的图像整合与图像编码算法研究，学位论文-Based on compressed sensing theory of image integration and image coding algorithm, dissertations
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压缩感知中的信号重构算法（OMP），以误码率作为其衡量其性能的标准-Compressed sensing signal reconstruction algorithm (OMP), in order to measure its BER performance as its standard
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压缩传感omp算法代码，附带一个测试的程序。便于理解。-Omp compressed sensing algorithm code, with a test program. Easy to understand.
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沙威部分代码，帮助学习压缩感知（CS）很有帮助，原论文在网上可直接下到。-Javert part of the code to help learn compressed sensing (CS) helpful, original papers on the Internet can be directly down to.
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压缩感知重构经典算法-BP算法，试用效果不错相对于OMP好很多，但重构时间较长-compressed sensing；BP algorithm；compressive sensing
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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
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这是压缩感知CS的一个重构算法的代码，OMP-This is a compressed sensing reconstruction algorithm CS code, OMP
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压缩感知的各种经典还原算法，BP,OMP，CoSaMP，LP等等。-Compressed sensing a variety of classical reduction algorithm, BP, OMP, CoSaMP, LP and more.
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基于压缩感知匹配追踪算法对一维数据的恢复-Matching Pursuit algorithm based on compressed sensing for one-dimensional data recovery
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压缩感知的基于正交化重构算法,该算法用matlab实现，-Orthogonalization compressed sensing reconstruction algorithm, the algorithm using matlab,
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基于压缩感知的图像恢复重建的实验源代码以及相关图片及文件-Compressed sensing image reconstruction experiment source code and related images and documents
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一篇关于压缩感知的运动感知译码算法，将YUV视频进行压缩感知采样，然后传输至译码端，并采用LASSO算法对其进行重构的文章。-A motion perception on compressed sensing decoding algorithm, the YUV video compression sensing sampling, and then transmitted to the decoder side, using LASSO algorithm to reconstruct th
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