搜索资源列表
CS_Examples
- 压缩感知实际案例，网络下载用来学习，现分享给大家，侵权即删。(Compressed sensing actual cases, network download for learning, now sharing to everyone, infringement is deleted.)
code
- 压缩感知的OMP、ROMP、Cosamp和BP算法的代码及单次测试代码 ，用于学习相关基础理论知识(Compressed sensing OMP, ROMP, Cosamp and BP algorithm code and single test code, for learning related basic theoretical knowledge.)
l1magic
- 实现压缩感知的稀疏信号恢复，采用L1范数约束最小化策略(Sparse signal recovery with compressed sensing, by using the L1 norm constraint minimization strategy)
CS-Recovery-Algorithms-master
- 压缩感知工具箱：包含12种信号恢复算法，压缩感知介绍pdf文件以及几个测试算例，亲测好用，来自大牛。运行无bug.(The compressed sensing toolbox includes 12 kinds of signal recovery algorithms, compressed sensing, PDF file and several test cases. Running without bug.)
基于压缩感知的MASSIVE MIMO信道估计
- 基于压缩感知的MASSIVE MIMO信道估计，采用OMP算法解决稀疏信道估计问题。MASSIVE MIMO多小区多用户模型，合成稀疏信道（有效解决导频污染）。(Based on compressed sensing for MASSIVE MIMO channel estimation, OMP algorithm is used to solve the sparse channel estimation problem. MASSIVE MIMO multi cell and multi-
CS_BP重构
- bp重构算法程序，压缩感知重构算法，包含测试程序(BP reconstruction algorithm program, compressive sensing reconstruction algorithm, including test program)
semi-tensor compressed sensing
- 基于半张量积的压缩感知新型方法介绍与实验(semi-tensor compressed sensing)
压缩感知在信道估计的应用
- 基于MATLAB的信道估计，主要利用压缩感知！！！！！(MATLAB-based channel estimation)
基于SAMP算法OFDM系统信道估计11
- 本程序为基于压缩感知的信道估计算法，其用途在于利用信道的稀疏性来降低导频的使用，获得较好的信道估计精度(This program is a compressed sensing based channel estimation algorithm, which uses the sparsity of the channel to reduce the use of pilot and obtain better channel estimation accuracy.)
压缩感知贪婪算法
- 压缩感知贪婪算法包含众多算法，包括常见的OMP，CosAMp，SP等全部都有
CS的一些重构算法
- 压缩感知的所有重构算法，包括OMP,ROMP,SAMP,StoMP等等算法。(All reconstruction algorithms of compressed sensing include OMP, ROMP, SAMP, StoMP and so on.)
omp
- 基于压缩感知的OMP稀疏重构，与MP方法进行区别(sparse reconstruction using OMP based on compressive sensing)
压缩感知三维点_程序
- 对模型进行三维成像，向量化三维成像和压缩感知三维成像(Three dimensional imaging, vectorization 3D imaging and compressed sensing 3D imaging are performed on the model.)
ct程序备份
- 键词： 压缩感知算法 用于运动目标的跟踪(Compressed sensing algorithm for tracking of moving targets)
msequence-csomp
- m序列构造的压缩感知测量矩阵重建概率恢复(Compressed sensing matrix reconstruction probability recovery of m-sequence construction)
Fourier
- 利用傅里叶矩阵构造压缩感知测量矩阵恢复重建概率(Using the Fourier matrix to construct a measurement matrix to recover the reconstruction probability)
Fourier-k-m-reconstuction
- 在构造压缩感知测量矩阵中，用傅里叶矩阵实现稀疏度k和m与信噪比之间的关系(In the construction of compressed sensing measurement matrix, the relationship between sparsity k and m and signal-to-noise ratio is realized by Fourier matrix.)
Wavelet_OMP
- 使用小波当稀疏基的OMP压缩感知实现,直接可以运行,压缩包内有图片(Using wavelet as the OMP compressed sensing implementation of sparse base, it can run directly, and there are pictures in the compressed package.)
BSBL_BO
- BSBL 重构算法,可以在压缩感知信号处理之后重构出原始信号(compress sense BSBL reconstruction)
NLR_CS
- 该文件包含一篇基于秩极小化的压缩感知图像重建及其代码实现，该方法利用图像自身非局部相似性，构建低秩矩阵模型，实现图像重建。(This document contains a compressed sensing image reconstruction based on rank minimization and its code implementation. This method uses the non-local similarity of the image itself to co