搜索资源列表
decomposition
- 利用小波包实现信号的稀疏分解，方法较为新颖，外文文章
MPTFcomposition
- 实现信号基于MP的稀疏分解，并对信号进行时频分布
MCALabWithUtilities
- MCA算法源程序，可用于稀疏分解，信号分类，图像修复，信号还原-MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction
CS
- 压缩感知matlab代码，使用FFT进行稀疏分解，OMP算法重建信号-Compressed sensing matlab code, the use of FFT for sparse decomposition, OMP algorithm for signal reconstruction
SignalandImageDecompositionandItsPreliminaryApplic
- 信号与图像的稀疏分解及其初步应用，包含详细算法-Sparse signal and image decomposition and its preliminary application, contains a detailed algorithm
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!
mp_algorathm
- 基于MP（matching pursuit匹配追踪）算法的信号的稀疏分解，实现简单信号的稀疏分解-Based on MP (matching pursuit matching pursuit) algorithm sparse decomposition, sparse decomposition of simple
CS
- 用matlab利用压缩感知CS实现对一位信号的处理~小波稀疏分解，正交追踪算法重构~1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-CS with matlab using compressed sensing to achieve a sparse signal processing- wavelet decomposition, the orthogona
Sparse-decomposition
- 实现信号的稀疏分解，基本的分解，优化为互相关，再优化为fft-Realization of signal sparse decomposition, basic decomposition, optimization of cross-correlation, optimization for FFT
system-identification
- 采用时频聚集性较好的线性调频信号作为线性时不变系统输入激励，采用Gabor字典作为过完备原子库。在利用传统系统辨识法之前先利用稀疏分解算法将输出信号进行去噪处理，显著提高系统辨识精度。 具体包括互谱算法，信号的Gabor稀疏分解的详细代码-Space can be a time for sparse decomposition to solve the problem of huge memory needed。This approach, combined with the rapid d
ssdp
- 统计稀疏分解（SSDP）欠定盲分离MATLAB仿真程序。能在接收天线个数小于源信号个数时，仅仅利用观察信号恢复出源信号。-Statistics sparse decomposition (SSDP) underdetermined blind separation of MATLAB simulation program. In the number of receiving antennas is less than the number of source signals, using on
xsssdp
- 基于稀疏分解的欠定盲源分离，要求信号具有一定的稀疏性。-Based on sparse decomposition due to blind source separation, the signal has a certain sparseness.
dct-dft--dwt
- 基于Matlab的压缩感知DCT、DWT、DFT正交基及过完备字典稀疏分解信号及重构-Matlab-based compression perception DCT, DWT, DFT orthogonal basis and complete dictionary signal sparse decomposition and reconstruction
Wavelet_OMP
- 小波稀疏分解和重构算法，适合通信信号和图像重构-Sparse wavelet decomposition and reconstruction algorithm for communications signal and image reconstruction
temporalmp120
- 该源码是实现匹配追踪算法MP，对信号进行稀疏分解和重构-the code for matching pursuit
Sparsity-Inducing-DOA
- 基于稀疏分解的宽带信号DOA估计方法，使用了基于贝叶斯的方法具有良好的估计精度和分辨率-Wideband signal sparse decomposition DOA estimation method based on the use of a method based on Bayesian estimation has good accuracy and resolution
Demo_RSC_AR_disguise
- 稀疏表示人脸识别算法。稀疏表示是最近几年信号处理领域的热点之一，简单来说，它其实是一种对原始信号的分解过程，该分解过程借助一个事先得到的字典（也有人称之为过完备基，overcomplete basis，后面会介绍到），将输入信号表示为字典的线性近似的过程。-Sparse representation recognition algorithms. Sparse representation is one of the last few years the hot field of signal
ayy_LFM_OMP
- 多目标的线性调频连续波回波信号的正交匹配追踪算法OMP稀疏分解,matlab语言编写。-OMP method for signal compression
WaveletApproximate12
- 基于gabor原子库的一维语音信号的稀疏分解-Gabor Atomic library