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基于matlab的稀疏表示中L1范数计算源码,the codes for L1 in sparsty representation with matlab
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Atomizer is a package of Matlab routines for atomic decomposition of 1-d signals in various dictionaries. The atomic decomposition techniques include Basis Pursuit, the Method of Frames, the Best Orthogonal Basis method for wavelet packets/cosine pac
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Basis Pursuit DeQuantizer (BPDQ) Toolbox是图像处理很经典的工具包。-Basis Pursuit DeQuantizer (BPDQ) Toolbox is a very classic image processing tool kit.
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matching pursuit 算法，matlab实现，信号稀疏分解方式的一种，适合与信号在超完备的原子库中稀疏分解。matchingpursuit.m-A matching pursuit algorithm. It fits data from a set of dictionary
elements by orthogonally projecting the data onto elements of the
dictionary of vectors such that t
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CS程序，非常好用，求解基追踪模型，希望多与大家讨论-CS program, very easy to use, to solve the model-based tracking and hope to discuss more with you
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基于基追踪（basis pursuit）对信号进行稀疏表示的算法-signal decomposition by basis pursuit...
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用于求解组稀疏的matlab代码，可以设置系数为非负。也可以设置分组是否为重叠。-This is a solver for
(1) group-sparse basis pursuit model:
minimize sum_i w_i*||x_{gi}||_2
subject to Ax = b,
x >= 0 (optional),
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SPGL1 is a Matlab solver for large-scale one-norm regularized least squares.It is designed to solve any of the following three problems: 1. Basis pursuit denoise (BPDN): minimize ||x||_1 subject to ||Ax - b||_2 <= sigma, 2. Basis pursuit (BP): min
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该算法可以有效解决BPDN，BP以及Lasso问题- SPGL1 is a Matlab solver
for large-scale one-norm regularized least squares. It is designed to
solve any of the following three problems:
1. Basis pursuit denoise (BPDN):
minimize ||x||_1 subject to |
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很适合于学习的常用的稀疏恢复算法例程，包括basis pursuit，CoSaMP，GBP，OMP，TVeq等算法。-Very suitable for learning sparse recovery algorithms, including basis pursuit, CoSaMP, GBP, OMP, TVeq algorithm.
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使用拉亚普诺夫指数的公式，本科毕设要求参见标准测试模型，是信号处理的基础，仿真图是速度、距离、幅度三维图像，关于小波的matlab复合分析，匹配追踪和正交匹配追踪。- Raya Punuo Fu index using the formula, Undergraduate complete set requirements refer to the standard test models, Is the basis of the signal processing, FIG simulatio
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匹配追踪和正交匹配追踪，利用贝叶斯原理估计混合logit模型的参数，用于信号特征提取、信号消噪，是信号处理的基础，MIMO OFDM matlab仿真,已调制信号计算其普相关密度，应用小区域方差对比，程序简单。- Matching Pursuit and orthogonal matching pursuit, Bayesian parameter estimation principle mixed logit model, For feature extraction, signal de-
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匹配追踪和正交匹配追踪，利用贝叶斯原理估计混合logit模型的参数，用于信号特征提取、信号消噪，是信号处理的基础，MIMO OFDM matlab仿真,已调制信号计算其普相关密度，应用小区域方差对比，程序简单。
- Matching Pursuit and orthogonal matching pursuit, Bayesian parameter estimation principle mixed logit model, For feature extraction, signal
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Matlab 工具包，用于求解基追踪(BP)问题和基追踪去噪(BPDN)问题(Matlab toolbox , to solve Basis pursuit(BP) problems and Basis pursuit denoising(BPDN) problems)
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MATLAB implementation of compressive sensing example as described in R.
Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118],
July 2007. The code acquires 250 averaged random measurements of a 2500
pixel image. We assume that the ima
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MATLAB implementation of compressive sensing example as described in R.
Baraniuk, Compressive Sensing, IEEE Signal Processing Magazine, [118],
July 2007. The code acquires 250 averaged random measurements of a 2500
pixel image. We assume that the
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基追踪算法，用于解决压缩感知问题的经典算法，使用ADMM求解。(It is a matlab version of Basis Pursuit algorithm used to solving compressed sensing problem.)
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