搜索资源列表
FFT_MP_稀疏分解
- 利用FFT实现基于MP的信号稀疏分解程序
MP稀疏分解
- 基于Garbor 原子的稀疏分解，本算法是一种贪婪算法，可以很好的将信号分解
GA—MP稀疏分解算法
- 基于遗传算法和匹配追踪算法的稀疏分解算法
稀疏分解库
- 该稀疏分解库介绍了各种稀疏分解算法及其应用。 国内稀疏分解算法能下载的不多，这是国外最原始的稀疏分解算法及其改进
基于OMP算法的信号稀疏分解（Gabor字典）
- 基于OMP算法的信号稀疏分解程序
mp_fft.rar
- 利用FFT快速算法来实现二维图像基于匹配追踪算法的稀疏分解。,Fast Algorithm for the use of FFT to achieve two-dimensional image matching tracking algorithm based on sparse decomposition.
CS
- Matlab编写的压缩感知的库函数，包括稀疏分解和重构。-Written in compressed sensing Matlab library functions, including the sparse decomposition and reconstruction.
OMP
- 本程序实现了信号稀疏分解的经典算法OMP！-This program implements a classic signal sparse decomposition algorithm OMP!
MP-FFT
- 基于FFT的MP算法（matching pursuit）匹配跟踪，实现信号的稀疏分解-FFT-based MP algorithm (matching pursuit) matching pursuit, sparse decomposition of the signals
sparse_decomposition
- 基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared
picture
- 利用FFT快速运算技术来实现在二维图像领域上的稀疏分解过程。-The use of FFT techniques to achieve fast computing in the field of two-dimensional image of the sparse decomposition process.
ompbox9
- 稀疏分解工具包，采用OMP算法，可用于稀疏字典的构造，压缩感知等领域-Sparse decomposition tool kit, using OMP algorithm, can be used for the construction of sparse dictionary, compressed sensing and other areas
extr_onesrc2
- 基于稀疏分解的单个信号盲分离，从多个混合信号中，提取出我们需要的信号-Sparse decomposition based on a single blind signal separation, from the number of mixed-signal, we need to extract the signal
MP
- 基于匹配追踪的信号稀疏分解的一种新方法的仿真-Based on matching pursuit signal decomposition A new method for sparse
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.
LFM-MP-SNR
- 稀疏分解在LFM信号模型的应用，稀疏分解应用在低信噪比的情况下，能够很好的恢复原信号-mp—LFM
MPimage
- 使用MP将图像稀疏分解并且精确重构，其中使用2D的GA原子-MP will use the image sparse decomposition and perfect reconstruction, in which the GA using 2D atomic
omp
- 基于正交分量的OMP稀疏分解参考程序，要求分解信号分量具有正交性-Sparse orthogonal decomposition OMP component reference procedure that requires the signal components with the orthogonal decomposition
MP
- 经典的信号稀疏分解算法MP的实现。随着迭代次数增大，恢复的信号越精确。-The classic signal sparse decomposition algorithm MP . With the number of iterations increases, the more accurate the signal is recovered
compressed_OMP
- 对信号进行稀疏分解并投影，然后对信号进行重建-Sparse decomposition of the signal and projection, and then reconstruction of the signal