搜索资源列表
Linearized-Bregman
- linearized bregman 用于压缩感知中的稀疏信号恢复-linearized bregman
aairomp
- 基于压缩传感CS的经典重构算法:正交匹配追踪OMP，能很好的重构稀疏信号。-Compressed sensing based on the classic CS reconstruction algorithms: orthogonal matching pursuit OMP, the reconstruction of sparse signals is well 朗读显示对应的拉丁字符的拼音 字典 翻译以下任意网站El Confidencial-西班牙语Nord-Cine
toolbox_sparsity
- sparsity 工具箱,包括稀疏信号的感知压缩和多种解码恢复算法。-tool_sparsity, including sparse signal compression and recovery.
sparse_s
- 稀疏信号的生成及cs模型稀疏阵（fft）和生成阵(PHI)的生成，及波形展示-Sparse signal generation and cs model sparse array (fft) and generate array (PHI) generation, and waveform display
CS_OMP
- 压缩感知方法演示，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-1-D signal is compressed sensing to achieve (orthogonal matching pursuit method Orthogonal Matching Pursuit) number of measurements M> = K* log
lp_re
- 实现稀疏信号的重构，根据Compressive Sensing原理实现，我本人在网上搜到的，希望行家给出意见-AlphaSparse signal reconstruction, according to Compressive Sensing principle, I found online, and hope the experts to give an opinion
Wavelet_OMP
- 正交匹配算法，实现了 给定信号的稀疏表示。算法很好！-Orthogonal matching algorithms, realize a given signal sparse said. Algorithm is very good!
L1_magic
- 程序包包括了求解稀疏信号重构的凸优化方法。具体实现了基于 primal-dual 的线性规划方法（LPs）和基于 log-barrier 的二阶锥规划方法（SOCPs）。-Sparse signal recovery via convex programming is given in the pakage. The Lps are using generic primal-dual method, and the SOCPs are solved with a generic log-barr
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
RL1
- 基于加权l1范数的稀疏信号重建，稀疏信号是带噪声的-Sparse signal reconstruction based on the weighted l1 norm sparse signal with noise
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
WCMSR
- 宽带信号协方差矩阵稀疏表示DOA估计算法仿真-The broadband signal covariance matrix sparse said DOA estimation algorithm simulation
SL0
- 非常有用的平滑l0算法代码程序，实现信号的稀疏重构-Very useful for smoothing the l0 algorithm code procedures to achieve signal sparse reconstruction
TestSL0
- 非常有用的平滑l0算法代码程序样例，实现信号的稀疏重构-Very useful for smoothing the l0 algorithm code procedures to achieve signal sparse reconstruction
uwbdete6
- 该方法将宽带信号的检测转化为稀疏信号的表示问题。利用分数阶傅里叶变化实现宽带LFM信号的稀疏表示，然后利用OMP算法实现LFM信号的检测。-The method to the detection of broadband signals into sparse signal representation problem. Wideband LFM signal changes in the fractional Fourier sparse representation, and then ta
omp
- omp算法，该编码通俗易懂，应用简单。用于求压缩感知中，在字典D已知的前提下，一个信号在该字典上的稀疏表示。-omp algorithm, and compressed sensing, sparse representation of a signal in the dictionary in the dictionary D known premise.
omp
- 正交匹配追踪算法，是一种压缩感知中的重构算法，优点是复杂度低，缺点是需要预知信号的稀疏度-Orthogonal matching pursuit algorithm is a compressed sensing reconstruction algorithm, the advantages of low complexity, the disadvantage is the need to predict the sparsity of the signal
k_svd1
- K-SVD同MOD一样也分为Sparse Coding和Dictionary Update两个步骤，Sparse Coding没有什么特殊的，也是固定过完备字典D，使用各种迭代算法求信号在字典上的稀疏系数。-K-SVD Sparse Coding and Dictionary Update is also divided into two steps, like MOD, Sparse Coding is not anything special, also fixed overcomplete
toolbox_sparsity
- 一个很有用的基于稀疏的信号处理工具箱，包含有多种算法。-a useful toolbox based on sparse signal processing
CS(matlab)
- 压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号。-Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, it is through the development signal sparse chara