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% May 2010 % This matlab code implements TVL1 based Hybrid Compressive Sensing using LSQR. % Only suitable the small scale data due to the costly storage and computation. % % A - M x N measurement matrix: random sampling alone or hybrid sampling (ran
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压缩感知中一种测量方法。介绍如何构造测量矩阵。-Compression in a perceptual measurement method. Introduce how to construct measurement matrix.
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利用TV算法实现两幅图像的融合，融合规则采用最大值选取规则，测量矩阵采用傅里叶星型抽样模型-TV algorithm using two images of fusion, fusion rule with the maximum selection rule, measurement matrix Fourier sampling model star
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晶体硅光伏(PV)方阵I-V特性的现场测量,2000国家标准GT18210-Crystalline silicon photovoltaic (PV) characteristics of the site measurement matrix IV, 2000, the national standard GT18210
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CS理论里观测矩阵的优化算法以及训练稀疏字典的算法-optimization of measurement matrix and dictionary learning for sparse approximations
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一篇关于压缩感知的经典文章，压缩感知（Compressed sensing，简称CS，也称为Compressive sampling)理论异于近代奈奎斯特采样定理，它指出：利用随机观测矩阵可以把一个稀疏或可压缩的高维信号投影到低维空间上，然后再利用这些少量的投影通过解一个优化问题就可以以高概率重构原始稀疏信号，并且证明了这样的随机投影包含了原始稀疏信号的足够信息。-A classic article on compressed sensing, compressive sensing (Comp
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基于omp重构算法的压缩感知的正交化高斯测量矩阵的图像压缩算法-Based on omp restructuring algorithm compression sensation orthogonalization Gauss measurement matrix image compression algorithm
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压缩感知用于信号重构恢复的程序，包括测量矩阵的修改-Compressed sensing for signal reconstruction recovery procedures, including measurement matrix changes
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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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生成度量矩阵的新算法及拟度量矩阵的性质研究-A new algorithm to generate measurement matrix and the nature of the matrix to be measured
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关于图像分块压缩感知，及测量矩阵加权的三篇文章-Three articles on the image block compressed sensing, and measurement matrix weighted
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关于压缩感知理论的测量矩阵和重构算法分析！-Measurement matrix and reconstruction algorithm about CS
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计算压缩感知的测量矩阵和稀疏基的RIP因子。-This file aims to calculate the RIP factor or the measurement matrix and sparse base in compressive sensing field.
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ALPS folder
2. generate_matrix.m: generates measurement matrix.
3. generate_vector.m: generates sparse vector.
4. Report_bibtex.tex: bibtex reference for citing.
5. ALPSdemo.m: demo of ALPS.
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矩阵加减乘除类的实现，可以直接调用，在做测量程序时用处较多，不需再次编写-Realization of matrix addition, subtraction, you can directly call more useful to do the measurement procedures, and without re-writing
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自己翻译的一篇最新外文文献《使用部分随机循环测量矩阵的1-bit压缩感知的频谱侦测网络系统》-Own translation of a the latest foreign literature " some random cycle measurement matrix 1-bit compressed sensing spectrum sensing network system
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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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使用C语言开发的基于DSP的kalman滤波算法，输入数据做成头文件的形式包含在工程中，并针对测量矩阵对一些矩阵运算进行了简化。使用的硬件平台为TMS320C5509A开发板，运行通过，结果和MATLAB仿真结果一致！-Kalman filtering algorithm based on DSP development using C language, made of the input data in the form of the header files included in the
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基于CS测量矩阵优化的图像融合，测量矩阵是压缩感知理论的三大核心部分之一，它直接影响着压缩感知理论在图像融合领域的应用-Image Fusion CS measurement matrix optimization, measurement matrix is compressed sensing theory of one of the three core parts, which directly affects the compressive sensing
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在压缩感知中各种随机观测矩阵的matlab构建方法。包括随机傅里叶矩阵，部分hardmand矩阵等-In compressed sensing observation of various matrix matlab random construction method. Including random Fourier matrix, part hardmand matrix, etc.
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