搜索资源列表
dct_cs
- DCT压缩感知方案，采用DCT基稀疏分解原始信号，并且重构出原始信号-DCT compressed sensing scheme, using sparse decomposition of the original DCT-based signal and reconstruct the original signal
compress edsensing OMP
- 压缩感知 正交匹配追踪一些人关心压缩感知与雷达成像，他们把稀疏表示放在最重要的地方，以为在雷达成像中成功实现压缩感知关键是稀疏表示； 事实上并不是如此。我们知道：压缩感知需要建立AX=B,且该方法具有较低的抑制信噪比能力；另外雷达成像的基础是雷达 信号与目标的相互作用，也就是电磁波与介质的相互作用，该相互作用是一个非常复杂的非线性问题，因此研究这个问题与 压缩感知的关系才是解决雷达成像问题的关键点所在。从另外一个角度来看，雷达成像中惯用的方法是匹配滤波，
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
compressed-sensing-procedure
- 基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换-This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform to sparse the image signal a
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.
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
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
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
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!
dct
- 在离散余弦变换下实现信号的稀疏分解，matlab环境下可以简单实现-realize sparse Decomposition with dct
GA_MP
- 基于GA和MP的音频信号稀疏分解,用matlab实现-GA and MP based on sparse decomposition of audio signals using matlab implementation
CSRec_SP
- 压缩感知中子空间匹配追踪算法，用于稀疏信号重构-Compressed sensing algorithm for subspace matching pursuit for sparse signal reconstruction
Demo_CS_BP
- 压缩感知中基追踪重构方法，用于稀疏信号的重构，本程序用于图像重构-Based tracking in compressed sensing reconstruction methods for sparse signal reconstruction, the procedure used for image reconstruction
gini
- 一种常用的关于信号稀疏度测试的指标，值得拥有。-A commonly used test for signal sparsity indicators, worth having.
smallbox_1.9
- SMALLbox是一种新型的基础框架采用自适应处理信号稀疏结构的表示。其主要目的是成为一个SMALLbox考验地探索新大概很好的方法来获得内在稀疏数据驱动模型,它是可以做到的应付大规模、复杂的数据资料。- SMALLbox is a new foundational framework for processing signals using adaptive sparse structured representations. The main aim of SMALLbox is t
MP
- 基于MP的信号稀疏分解参考程序的matlab仿真代码-Matlab simulation code of the reference procedure based on the MP signal sparse decomposition
l1magic-1.11
- 实现信号稀疏重构的l1算法程序代码，实现信号稀疏重构的l1算法程序代码，-the matlab code of the method l1
sparse_MP
- 信号稀疏表示的小程序，适合初学者入门。采用匹配追踪算法-Signal sparse representation of small procedures, suitable for beginners.