搜索资源列表
gOMP
- 一种OMP算法，用于压缩感知稀疏信号恢复算法，性能比传统的OMP好。-One kind of OMP algorithm for compressed sensing sparse signal recovery algorithms, the performance is better than the traditional OMP.
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
BP
- 一维信号BP重构算法，先生成稀疏度为K的稀疏矩阵，再加入高斯白噪声进行算法重构以及质量衡量。-BP signal reconstruction algorithm for one dimensional, Mr. into sparse matrix sparsity of K, then the Gauss white noise and measure the quality of reconstruction algorithm.
JISP20140100000_16513260
- 压缩感知将数据的采样和压缩同时处理，仅需少量测量就能重建信号。测量矩阵直接影响着信号适应 的稀疏度范围和重建效果。为了减小测量矩阵与稀疏变换矩阵的互相干性，提出一种基于 KSVD-ETF 的测量矩 阵和稀疏表达字典联合优化的方法，在对测量矩阵进行 ETF 优化的同时利用 KSVD 方法更新优化表达字典，实 验结果中利用该方法优化矩阵所得重建信号 PSNR 有所提高，表明优化测量矩阵的方法在重建效果方面有一定 的优势。- Compressive sensing, a novel s
De423sktop
- 【谷速软件编程】matlab源码-平滑稀疏采样信号和图像的直方图 可以作为参考使用，程序是word版本 -[Valley] matlab source software programming speed- smooth sparse sampling signal and image histogram can be used as a reference, the program is a word version
commands
- [ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统，有助于学习压缩感知-[Convex_optimization.rar]- convex optimization package that contains a variety of convex op
keywords
- [ convex_optimization.rar ] - 凸优化 程序包，包含各种凸优化算法,可供方便调用. [ signal_decomposition_by_bp.rar ] - 基于基追踪（basis pursuit）对信号进行稀疏表示的算法 [ cvx .zip ] - 凸规划建模系统,有助于学习压缩感知-[Convex_optimization.rar]- convex optimization package that contains a variety of convex op
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
ica
- 信号的稀疏表示就是将信号投影到正交变换基-Sparse representation of the signal is a signal to the orthogonal projection transform base
Sparse-representation
- 稀疏表示的matlab代码，可以对信号进行稀疏表示，对稀疏表示有兴趣的学者，可以研究，很有帮助-Sparse representation of the matlab code, and the signal can be sparse representation, interested in sparse representation of the scholar, to study, very helpful
compressdoa
- ：压缩感知是近年来应用数学界提出的一套关于稀疏信号采集和重构的新理论，它突破了传统奈奎斯特采样定理 的限制，以远少于传统奈奎斯特采样定理所需的测量数据就能够精确恢复原信号或估计信号的相关参数。将压缩感知理论应 用到DOA估计，可以解决传统DOA估计中高采样率、以及较多辐射源信号条件下难以定位的限制。研究了基于压缩感知理 论的DOA估计方法，并利用MATLAB进行仿真，通过与传统MUSIC算法比较可知，基于压缩感知的DOA估计方法具有显著 的优势-The theory of Com
OMP
- 压缩感知 空域稀疏信号 精确恢复重建 匹配追踪算法 -compressive sensing sparse spatial signal orthogonal matching pursuit
SparseDeconv_software
- 基于1范数的稀疏信号反卷积算法的程序代码，语音信号、迭代算法-The sparse signal deconvolution algorithm based on 1 norm of program code, speech signal, an iterative algorithm
WaveletApproximate12
- 基于gabor原子库的一维语音信号的稀疏分解-Gabor Atomic library
AM_test
- 压缩感知中调幅信号的稀疏字典训练及稀疏表示，包含KSVD算法，OMP算法-Sparse dictionary training and sparse representation of amplitude modulation signal in compressed sensing, including KSVD algorithm, OMP algorithm
yasuoganzhi
- 压缩感知程序，利用CS对一维信号进行完美重构，适合稀疏信号-Compressed sensing applications, the use of CS for one-dimensional signal is perfect reconstruction, suitable for sparse signal
Compressed-sensing-HK
- 压缩感知信号重构的算法，用于学习，先稀疏，再观测系数，最后重建- compression algorithm used to study and review, thin, and observation of the reconstruction and
Wavelet_OMP_WD
- 压缩感知，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, through the development of signal sparse characteristics, in the condition of far less than the Nyquist sampling rate, the use of random sampling to obtain the
fangzhen
- 阵列信号处理，空间谱估计，利CVX工具箱实现稀疏重构的单快拍DOA估计-Array signal processing, spatial spectrum estimation, and CVX toolbox to achieve the sparse reconstruction of single snapshot DOA estimation
random
- 压缩感知，观测矩阵采用随机观测矩阵，解码采用OMP算法，信号采用频域稀疏度为7的信号，可以直接运行。-Compressed sensing, observation matrix using random observation matrix decoding using OMP algorithm signal using frequency-domain signal sparsity 7, it can be run directly.