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此是关于纯方向网测量平差程序，与一般的方向网平差程序不同的是，二维矩阵用一维矩阵表示，实现了压缩存储，提高效率。-this is the direction of pure network measurement adjustment procedures, and the general direction of the net adjustment process is different using a two-dimensional matrix dimensional matrix,
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给出了在卫星轨道确定中的各种测量量及测量噪声，敏感期的测量方程即转换矩阵-given in the satellite orbit determination of measurement and measurement noise, the sensitive phase of the measurement equation that the transformation matrix
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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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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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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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关于信息恢复的程序。输入恢复类型、恢复向量导引和测度矩阵即可恢复出原向量。测度矩阵可以通过getmat.m文件生成。-With regard to the information recovery procedures. Enter recovery type, to restore vector guide and measure matrix can be restored to the original vector. The measurement matrix through getm
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This is a random measurement matrix, mainly used in two-dimensional image based on compressed sensing processing algorithms, the matrix performs better than other deterministic measurement matrix and random measurement matrix
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这个代码是用chebyshev作为测量矩阵的压缩感知图像加密压缩算法。-this code is chebyshev map to controll measurement matrix.
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2维光滑l0范数和修正牛顿法的压缩感知重建算法，涉及两个测量矩阵，两个方向。是我精心编写的，能通过测试。-2D-NSL0: based on the smooth l0 norm and the modified Newton method of 2 dimensional compressive sensing reconstruction algorithm, involving two measurement matrix, two directions.
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压缩感知重构算法之正交匹配追踪(OMP)。
一个不错的MATLAB源代码。(% Othogonal matching pursuit of Tropp et Gilbert
% Find greedy approx of s s.t. phi*s = y
% y : data
% phi : measurement matrix
% K :number of vectors used in the approx (typ. = S or M)
% Written by David M
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压缩感知用高斯随机矩阵作为测量矩阵，用BP算法重构(The Gauss random matrix is used as the measurement matrix for the compression perception, and the BP algorithm is reconstructed)
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采用遗传算法对 EKF 中的系统噪声矩阵和测量矩阵的协方差进行在线优化，以实现在模型误差最小时对 SOC 进行在线估计(Genetic algorithm is used to optimize the covariance of system noise matrix and measurement matrix in EKF on-line, so as to realize the on-line estimation of SOC at the minimum model error)
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随机均匀采样的matlab代码实现，输入矩阵的大小和要采样的数目。返回一个随机均匀采样的测量矩阵，矩阵的值为0或1，0表示没有采样，1表示采样(Matlab code of random and uniform sampling, the size of input matrix and the number of samples. Returns a measurement matrix with random and uniform sampling. The value of the ma
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