搜索资源列表
liu1
- 时域稀疏的简单信号进行仿真，滤波器系数服从高斯分布-Time-domain signal sparse simple simulation Gaussian filter coefficients
liu5
- 对频域稀疏的简单信号进行仿真，滤波器系数服从贝努利分布-The frequency domain signal simulation sparse simple filter coefficients Bernoulli distribution
l1regularization
- 本matlab程序主要是处理稀疏信号重构问题的，基于L1迭代阈值算法进行恢复的。（软阈值算法）-The matlab program mainly sparse signal reconstruction problems, L1 iterative thresholding algorithm based recovery. (Soft thresholding algorithm)
27220065
- 利用正交匹配跟踪原子库对信号进行稀疏分解程序-Using orthogonal matching pursuit atom libraries for signal sparse decomposition process
Sparse-noise-reduction
- 用于信号的稀疏降噪，特别是转子信号的稀疏降噪-Sparse noise reduction
main1
- 直接贝叶斯方法进行压缩感知中的稀疏信号的重构-direct Beiyasian method for CS reconstruction
main2
- 变分贝叶斯方法进行压缩感知中的稀疏信号的重构-Variational Bayesian method for CS reconstruction
PSO
- 用智能算法的粒子群算法进行压缩感知稀疏信号的重构-PSO is used for signal reconstruction
KSVD-ToolBox
- KSVD稀疏表示matlab代码，有3个demo示例程序，可实现一维二维信号的稀疏表示。-K SVD sparse representation matlab code, there are three demo sample program can achieve one-dimensional two-dimensional signal sparse representation.
Sparse_Representations_classifier
- 信号的稀疏表示，包含需要的cvx文件，有【15，20】的信号为例-Sparse representation of the signal, cvx file containing the required, there is a signal [15,20] Case
FOCUSS
- 用MATLAB利用FOCUSS实现波达方向的估计，FOCUSS算法通过找到合适的加权矩阵对稀疏信号进行恢复-Doa estimation using FOCUSS. FOCUSS algorithm through weighted matrix to find the right to recover the sparse signal.
MP
- 此程序为稀疏分解匹配追踪的算法，应用于轴承信号故障处理中-This program is a sparse decomposition matching pursuit algorithm, applied to the bearing signal fault processing
OMP24x12
- 利用空调调制信号本身固有的稀疏特性和压缩感知信号重构算法的MATLAB代码。-The use of air conditioning modulation signals inherent characteristics and compressed sensing sparse signal reconstruction algorithm MATLAB code.
BP
- 经典BP算法(Basis pursuit)，对稀疏一维信号进行恢复，有详细注解，适合初学者-Basis pursuit algorithm
MP
- 该代码可用于信号的处理。用MATLAB代码书写，可用于稀疏信道的估计-This code can be used to process the signal. Writing code using MATLAB, it can be used to estimate the sparse channel
SPICE-algorithm-and-its-reference
- 稀疏重构算法SPICE对时域非均匀采样信号进行重构。压缩包含源代码SPICE.m的参考文献，源代码中只包含SPICE算法，不包含参考文献中的其他对比算法。-Sparse reconstruction algorithm SPICE to reconstruct the time domain non uniformly sampled signals. Compression contains reference source code SPICE.m, the source code cont
as_rpca
- 本程序主要是处理图像的，主要是用于求解被高幅度尖锐噪声而不是高斯分布噪声污染的信号分离问题~把问题矩阵分解成一个低秩表示的矩阵和一个稀疏矩阵，优化目标函数，用ALM方法是求解的~-This procedure is mainly to deal with the image, mainly for solving high-amplitude sharp noise rather than Gaussian noise distribution of the signal separation
SBL_S
- SBL 稀疏贝叶斯学习方法,正弦信号验证版本,低噪声情况准确率高-sparse beyesian learning
MOD
- MOD算法是经典的字典学习算法，他能适应各种信号如图像、声音、机床振动等的稀疏表示-MOD algorithm is the classic dictionary learning algorithm, he can adapt to a variety of signals, such as sparse image, sound, vibration or the like, said machine tool
ONSL0
- ONSL0稀疏重构算法是NSL0的优化版 输入: y:测量值向量 A:测量矩阵 A_pinv:A的广义逆 输出: xr:重构信号 用于对信号或者图像的压缩重构-ONSL0 u7A00 u758F u91CD u6784 u7B97 u6CD5 u662FNSL0 u7684 u4F18 u5316 u7248 u8F93 u5165: y: u6D4B u91CF u503C u5411 u91CF A: u6D4B u91CF u7