搜索资源列表
RIPText
- 用来测试压缩感知中构造的测量矩阵的RIP的-this .m file is used to check the senging matrix RIP in CS
Matrix-cs
- 矩阵类，可进行矩阵的各种运算，并可求解Ｎ阶线性方程-matrices, matrix for the various operators and can solve linear equations N
Gamma
- Calibration(Ca200Sample_Cal.exe) provides(GAMMA测试调整工具，CA-210所带的样本程序) Setting of coefficients of Matrix Calibration / White Calibration / Standard Color. Read and write of CA calibration files. Assist user calibration with KONICA MINOLT
liehuanweifa
- 行列换位法采用密钥，假设密钥是5，明文是I am a Chinese boy那么就会以5位列数排成一个矩阵。 I a m a c h I n e s e b o y 那么密文就是ihe aib mno aey cs× ，最后一行不足的用随机字母填充，（×代表那个随机字母）！-The ranks of the use of key transposition law, assuming that key is 5, is clearly I am a Chinese boy then
BCS
- 压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。 -Compressive sens
CS-Matrix
- CS 矩阵类库 matrix library in csharp-matrix library in csharp
l1_cs
- 对lena.map先分块处理，然后做cs变换，观测矩阵用随机高斯矩阵，重构算法用l1算法-On lena.map first block processed, and then do cs transform, random Gaussian matrix with the observation matrix, reconstruction algorithm algorithm using l1
CalculateMatrix
- program c: calculator matrix
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, signal reconstruction is direc
cs
- 利用压缩感知对图像进行处理 先用小波变换生成矩阵，再利用正交匹配追踪算法，在对图像进行稀疏处理后进行正交匹配追踪 -Orthogonal matching pursuit algorithm for image processing First generated using wavelet transform matrix orthogonal matching pursuit, sparse processing image
basis-matrix
- 生成dct基矩阵，傅里叶基矩阵，可用于压缩感知的基矩阵等-generate dct basis matrix,forier matrix,twhich can be used for CS theory
cs-code
- 压缩感知的代码，里面有好多测量矩阵可以挑选，挺好挺全的代码-Compressed sensing code, there are a lot of measurement matrix can pick, very good full code
cs
- 基于压缩感知当中关键技术测量矩阵的设计的相关文献，有利于对测量矩阵设计的学习-Among the relevant literature on compressed sensing techniques to measure key matrix design is conducive to learning measurement matrix design
image-CS
- 基于CS的图像压缩解压，包括CoSaMP和OMP恢复算法，离散小波变换矩阵构造，具体对图像进行压缩解压-CS-based image compression and decompression, including CoSaMP and OMP recovery algorithms, discrete wavelet transform matrix structure, specifically for image compression and decompression
CS-of-lfm-using-OMP
- 此仿真的原理基于压缩感知理论，以LFM为采集信号，测量矩阵使用的是伯努利矩阵，恢复算法采用的是OMP算法，恢复效果不错，想学习压缩感知方面知识的可以下载仿真使用！ -The principle of the simulation based on compressed sensing theory, collection for LFM signal, measure matrix using Bernoulli matrix, recovery algorithm USES is OMP
image-fusion-based-on-cs-measurement
- 基于CS测量矩阵优化的图像融合，测量矩阵是压缩感知理论的三大核心部分之一，它直接影响着压缩感知理论在图像融合领域的应用-Image Fusion CS measurement matrix optimization, measurement matrix is compressed sensing theory of one of the three core parts, which directly affects the compressive sensing
cs
- 该文包含了压缩感知图像重构算法，有omp,cosamp,sp,可以选择观测矩阵高斯随机矩阵，稀疏随机矩阵，部分哈达码矩阵。(This paper includes compressed sensing image reconstruction algorithm. It has OMP, CoSaMP and sp. It can choose observation matrix Gauss random matrix, sparse random matrix and partial Had
Matrix
- Matrix(CSharp) c#实现卡尔曼滤波方程(Matrix (CSharp) c# implementation of Calman filter equation)
CS-Mtx
- 压缩感知中压缩测量的几种测量矩阵的构造，包括伯努利矩阵，循环矩阵和部分傅里叶矩阵等。(Several measurement matrices for compression measurement in compressed sensing are constructed, including Bernoulli matrix, cyclic matrix and partial Fourier matrix.)
确定性矩阵
- 压缩感知，确定性测量矩阵构造，matlab语言编程(Compressed sensing, construction of deterministic measurement matrix)