搜索资源列表
15883849CS_OMP
- 基于压缩感知理论，用OMP方法进行图像重构。-compress sense
19854809dct_cs
- matlab基于压缩感知理论的dct变换后的图像处理-compress sense
107215820matchingpursuit
- matlab环境下基于压缩感知理论BP算法的图像处理-compress sense
cs-matrix-of-measurement
- 文章是基于压缩感知理论的测量矩阵的研究。测量矩阵的选择是压缩感知理论的关键点，直接关系到信号重建效果的好坏！-Article is based on the theory of compressed sensing matrix measurement research. Measurement matrix of choice is the key to the theory of compressed sensing point,
cs_wave_ronghe_way3_dec4_test
- 这是采用小波变换以及压缩感知的理论编写的图像融合程序-This is the wavelet transform and the theory of compressed sensing image fusion program written in
DictionaryLearning
- 一种基于图像训练的字典构造方法，可以用来进行压缩感知的基矩阵构造-Based on image training dictionary construction method can be used for compressed sensing-based matrix structure
MT_CS_demo
- 主要是采用贝叶斯分压缩感知算法，及相关的应用实例-BSC used in the compressed sensing
Compressed-sensing-denoising-code
- 压缩感知去噪代码，一种用于去噪的CS的有效代码，简单适用-Compressed sensing denoising code, one for denoising CS valid code, a simple application
cs
- 几篇关于压缩感知入门的较好的文献，非常使用于新人。-Several good entry on compressed sensing literature, is used in the new.
A-Sparse-Learning-Package
- 美国莱斯大学压缩感知稀疏学习工具箱，能把信号进行稀疏表示，进而实现远低于奈奎斯特抽样速率的压缩感知-Rice University study Toolbox sparse compressed sensing, sparse representation of the signal can, thus achieving much lower than the Nyquist sampling rate of the compress
l1_OMP_matlab
- 压缩感知 L1范数最小化算法正交匹配追踪法重构信号-compressive sensing L1-norm OMP signal reconstruction
hadamard
- 压缩感知算法中观测矩阵为哈达玛矩阵重构算法为OMP时的测量相对误差与观测矩阵维数的关系-Compressed sensing algorithm for the Hadamard matrix of observation matrix reconstruction algorithms for the OMP and the relative error when measuring the dimension of the rela
noisynoncvx
- 不等式优化，可用于压缩感知，解决形如 min ||x||_p subject to ||y-Ax||_q<e的问题-optimization of the form min ||x||_p subject to ||y-Ax||_q<e
CS
- 适合初学者的压缩感知的程序，简单明了，便于理解压缩感知的整个数据流程-Compressed sensing for beginners program, simple, easy to understand the whole data flow of compressed sensing
compressed-sensing-procedure
- 基于压缩感知的图像处理，分别使用二维DCT、FFT和一维dwt变换对图像信号进行稀疏变换，然后使用正交匹配追踪算法进行重构，在进行相应的逆变换-This is a image processing procedure based on compressed sensing which respectively uses two-dimensional DCT, FFT and one-dimensional dwt transform
DCS_SOMP
- 压缩感知的仿真算法，使用的是SOMP恢复算法。-Compressed sensing simulation algorithm, using SOMP recovery algorithm.
cs_research
- 简要分析了压缩感知中的几个重要定理，有一定的借鉴作用。-This paper talks about some important theories in compressive sampling.
CS-Image-Rebuild
- 关于压缩感知重构算法，基于压缩感知的图像重建的实现-Compressed sensing image reconstruction based on the realization of
cs-code
- 一个正弦波利用DCT，FFT变换后稀疏化，然后应用压缩感知实现压缩，并有仿真图例说明重构效果。重构算法采用线性规划和OMP算法等，是一个初学CS入门的好例子。-A sine wave using DCT, FFT transform sparse, and then apply compressed sensing to achieve compression, and a legend reconstruction simulatio
l1_ls
- 求解l1范式的值，用于压缩感知中的稀疏表示。进行分类-Solving the value of l1 paradigm for compressed sensing of sparse representation. Classification