搜索资源列表
FrameTools
- Sparse Signal Representation using Overlapping Frames (matlab toolbox)-Sparse Signal Representation using Overl apping Frames (Matlab toolbox)
CoSaMP
- 压缩感知中压缩采样匹配追踪算法，用于稀疏信号的重构-Compressed sensing algorithm in the compressed sample matching pursuit for sparse signal reconstruction
A-Sparse-Learning-Package
- 美国莱斯大学压缩感知稀疏学习工具箱，能把信号进行稀疏表示，进而实现远低于奈奎斯特抽样速率的压缩感知-Rice University study Toolbox sparse compressed sensing, sparse representation of the signal can, thus achieving much lower than the Nyquist sampling rate of the compressed sensing
Professor-Lu-Wusheng-lecture
- 陆吾生教授是加拿大维多利亚大学电气与计算机工程系的教授。此课件为其在国内大学短期精品课程的课件。包含最优化问题求解，压缩感知方法及其在稀疏信号和图像处理中的应用（压缩、重构、降噪等）。-Professor Lu Wusheng University of Victoria, Canada Professor of Electrical and Computer Engineering. The courseware for the University in the domestic short
DCS_spectrum_sensing
- 分布式压缩感知，DCS_SOMP算法。用于稀疏信号的分布式恢复。-Distributed compressed sensing, DCS_SOMP algorithm. Distributed for sparse signal recovery.
BCS_fast_rvm
- 该代码实现的是压缩感知理论中的信号恢复问题。将压缩感知理论中的信号恢复问题转化为带参数约束的回归问题，从而利用贝叶斯理论实现参数估计，从而得到高效的重建稀疏信号。-The code to achieve the signal recovery problems in the theory of compressed sensing. Recovery issues into regression problems with parameter constraints will signal co
signal_decomposition_MP
- 稀疏信号分解利用匹配追踪算法，主程序+调用函数-Sparse signal decomposition, the main program calls the function+
compressed-sensing
- 用MATLAB实现的压缩传感，外文资料，里面含有部分源代码，用MATLAB可以仿真-Compressed sensing using MATLAB implementation, foreign language data, which contains part of the source code can be simulated using MATLAB
OMP
- 正交匹配追踪算法，用于稀疏信号恢复，包括算法与实验-sparse signal recovery orthogonal matching pursuit
cs_exam
- 压缩传感理论仿真的一个实际例子，稀疏信号的恢复。-Compressed sensing theory of simulation of a practical example of sparse signal recovery.
NonCvxGroupSparsity
- 本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度-This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative m
ksvdbox12
- 采用KSVD算法通过训练的方法来构造稀疏过完备字典，在使用时一定要确保已装有ompbox9。可用于语音，图像信号处理等的稀疏字典构造-KSVD algorithm using the method of training to construct the sparse over-complete dictionary, in use, make sure have been installed ompbox9. Can be used for the sparse dictionary cons
greed_omp
- Orthogonal Greedy Algorithm Sparse Signal Reconstruction for Compressive Sensing
hard_l0_Mterm
- Hard Iterative Thresholding Sparse Signal Reconstruction for Compressive Sensing L0-norm Minimization
greed_gp
- Gradient Pursuit Sparse Signal Reconstruction for Compressive Sensing Greedy Algorithm Implemented by Edinburgh University
sparsify_0_4
- sparsify is a set of Matlab m-files implementing a range of different algorithms to calculate sparse signal approximations. Currently sparsify contains two main sets of algorithms, greedy methods (collected under the name of GreedLab) and hard thresh
SparseLab200-DataSupplementStOMP
- CS 稀疏分解及信号的重建算法，分为随机测量和恢复。-CS sparse signal decomposition and reconstruction algorithm is divided into random measurement and recovery.
funchirp
- 多尺度线调频基稀疏信号分解方法源代码，非常适用于多分量非平稳信号分解！-FM-based multi-scale line of source code for sparse signal decomposition method is very suitable for multi-component non-stationary signal decomposition!
Sparse-and-Redundant-Representations
- Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing，稀疏表示的最新巨作-Sparse and Redundant Representations From Theory to Applications in Signal and Image Processing, sparse representation of the latest blockbuster