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该论文是石光明教授发布的第一篇关于压缩感知的中文论文，简要系统的介绍了压缩感知的相关理论-Professor Shi Guangming of the thesis was first published in Chinese papers on compressed sensing, a brief introduction to the compression system, the related theories of perception
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基于压缩传感的图像处理，其中运用了迭代的方法，不错的文章-Based on compressed sensing image processing, which used the iterative approach, a good article
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该文为压缩感知的信号重构设计了两种主要的重构算法-匹配跟踪算法、互补匹配跟踪算法，并对两种算法的特点进行了对比-In this paper, the signal is compressed sensing reconstruction of the design of two major reconstruction algorithm- matching tracking algorithm, complementary matching tracking algorithm, and th
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压缩感知是目前信号处理的新方法，本程序就是一个应用压缩感知的一个实例，有助于理解压缩感知。-Compressed sensing is a new method of signal processing, an application of this procedure is an example of compressed sensing to help understand the compressed sensing.
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压缩感知的最新进展，该篇讲的简单易懂，适合初学者 -The latest developments in compressed sensing, the article stresses the simple to understand for beginners
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文章是基于压缩感知理论的测量矩阵的研究。测量矩阵的选择是压缩感知理论的关键点，直接关系到信号重建效果的好坏！-Article is based on the theory of compressed sensing matrix measurement research. Measurement matrix of choice is the key to the theory of compressed sensing point, signal reconstruction is direc
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几篇关于压缩感知入门的较好的文献，非常使用于新人。-Several good entry on compressed sensing literature, is used in the new.
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我所搜集的有关压缩传感的非常有价值的参考资料，如果想要入门，这些文献是必不可少的-I collected the compressed sensing of extremely useful information, if you want to start, these documents are essential
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一个简单的运用正交匹配追踪算法（OMP）的程序，与Signal Recovery From Random Measurments Via Orthogonal Matching Pursuit中描述的OMP算法一致，可以使刚开始接触压缩传感（CS）的同学更快的入门，了解OMP算法-A simple algorithm using orthogonal matching pursuit (OMP) of the program, and Signal Recovery From Random Me
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用matlab利用压缩感知CS实现对一位信号的处理~小波稀疏分解，正交追踪算法重构~1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit)
测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-CS with matlab using compressed sensing to achieve a sparse signal processing- wavelet decomposition, the orthogona
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对二维图像进行压缩感知处理和重建，其中包括小波变换程序、正交匹配跟踪重建信号程序-Compressed sensing, processing and reconstruction of two-dimensional image
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几篇压缩感知的文献，主要介绍压缩感知的理论分析和应用研究，一些算法介绍的简单易懂-Several compressed sensing literature, introduces the compressed sensing theory and applied research, some algorithm is described in easy to understand
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自己搜集的关于语音方面的论文，CS，压缩感知，是最近的热门，打破了采样定律，结合CS的语音论文，这里给出，很全面。-His collection of papers about speech, CS, compressed sensing, is recently popular, breaking the law of sampling, combined with the voice of the CS papers, shown here, is very comprehensive.
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包含经典的压缩感知重构算法，匹配追踪算法，正交匹配追踪算法等，有测试程序和测试图像，也有一维信号的测试范例。-This code include compressed sensing althorigm ,such as orthorginal matching pursuit, matching pursuit, and it also include examples ablout image and other signals.
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基于贝叶斯假设的压缩感知重构算法，介绍了算法迭代流程，并与OMP ROMP STOMP算法做了比较-Bayesian Hypothesis Testing Based Recovery for Compressed Sensing
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压缩感知（Compressive Sensing(CS)，或称Compressed Sensing、Compressed Sampling）。该理论指出：对可压缩的信号可通过远低于Nyquist标准的方式进行采样数据，仍能够精确地恢复出原始信号。该理论一经提出，就在信息论、信号/图像处理、医疗成像、模式识别、地质勘探、光学/雷达成像、无线通信等领域受到高度关注，并被美国科技评论评为2007年度十大科技进展。-Compressed Sensing (Compressive Sensing (CS)
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对压缩感知理论进行了全面而细致的讲解，非常适用于压缩感知理论初学者。-Comprehensive and detailed explanation of the compressed sensing theory, ideal for compressed sensing theory for beginners.
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这是一篇关于seminar的演讲稿描述compressed sensing的概念和对MRI的应用。-This is a seminar presentation file that describing the concept of compressed sensing (CS). It also has some application of CS into MRI.
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压缩感知的基本实现，很适合入门的学习资料。-Compressed sensing to achieve basic, very suitable for entry-learning materials.
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非常好的一个介绍光学压缩感知的ppt,对于光学研究很有帮助-optic compressed sensing
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