搜索资源列表
CoSaMP
- 压缩感知基追踪算法，实现二维图像的小波变换以及图像重构-Compressed sensing based tracking algorithm, wavelet transform two-dimensional image, and image reconstruction
yasuoganzhisuanfa
- 应用matlab实现的压缩感知中正交匹配追踪算法，代码可用于信号重构的参考-Compressed sensing applications implemented in matlab orthogonal matching pursuit algorithm, code can be used to reconstruct the reference signal
fenkuaiyasuoganzhichengxu
- 分块压缩感知程序 本程序实现图像LENA的压缩传感-Block compressed sensing program
8-(1)
- 图像修复是对图像中破损区域进行信息填充，以减少图像破损所带来的信息损失的过程。 传统的图像修复方法需要依赖图像的具体结构来制定相应的修复方法，压缩感知理论的提出，使得可以利 用信号的稀疏性来对图像进行修复。基于K 奇异值分解（KSVD）与形态学成分分析（MCA，Morphological Component Analysis）的图像修复方法首先采用形态学成分分析方法对破损图像进行特征分析，将其分解 为结构部分和纹理部分；然后基于学习型字典KSVD分别对这两部分进行过完备字典训练；
CSOMP
- 压缩感知稀疏信号的重构代码，用到OMP算法实现过程-Compressed sensing reconstruction of sparse signal code, used in the process of OMP algorithm
KSVD
- 利用ksvd算法对矩阵进行奇异值分解实现压缩感知中的字典训练，-Use ksvd algorithm matrix singular value decomposition to achieve compression dictionary perception training,
SFCT
- 一种新的目标跟踪算法。将压缩感知引入到序列图像目标跟踪中，可以实现目标的稳定快速跟踪。-A new target tracking algorithm. The compressed sensing is introduced into the sequence of image target tracking, stabilization target can be achieved fast track.
object-tracking-based-on-ML-and-L2
- 提出了一种基于ML和L2范数的视频目标跟踪算法。将压缩感知引入到目标跟踪领域，实现图像目标跟踪。-Presents a video object tracking algorithm based on ML and L2 norm. The compressed sensing is introduced into target tracking, image target tracking.
huahua1
- 基于分块思想的实现lena的压缩感知加密算法-Perception encryption algorithm based on block compression to achieve lena ideas
cs
- 该程序实现了1维信号的压缩感知，信号恢复采用的是正交匹配追踪算法。-The program achieved a perception of one-dimensional signal compression, signal recovery using the orthogonal matching pursuit algorithm.
CS_SOMP
- 本程序可以实现对一维信号的压缩感知SOMP算法重构-the SOMP algorithm compressed sensing reconstruction
CS_ROMP
- 本程序可实现对一维信号的压缩感知ROMP重构-This program can be realized on the perception of one-dimensional signal compression reconstruction ROMP
CS_MP
- 本程序可实现对一维信号的压缩感知MP算法重构-This program can be realized on a one-dimensional signal compression algorithm for reconstruction perception MP
OMP
- 本程序可实现对一维信号的压缩感知OMP算法重构-This program can be realized on the perception of one-dimensional signal compression algorithm OMP reconstruction
CS_OMP
- 详细解释了压缩感知中正交匹配追踪算法的流程并编程实现，并代码进行了仿真测试。-A detailed explanation of the process of orthogonal matching pursuit algorithm and programming, simulation and code testing.
Wavelet_OMP_dct
- 根据压缩感知理论编写匹配追踪算法OMP程序，实现对图像的分解与重构，稀疏基为DCT基。-According to the theory of compressed perception OMP matching pursuit algorithm procedures, implementation of image decomposition and reconstruction of sparse matrix for DCT.
Compressive-Sense
- 介绍压缩感知技术的实现算法，压缩感知技术用于表示信息-introduce the algorithm of the Compressive sense, which is used to express the information
Research-on-Compressed-Sensing
- 经典的香农采样定理认为,为了不失真地恢复模拟信号,采样频率应该不小于奈奎斯特频率(即模拟信号 频谱中的最高频率)的两倍.但是其中除了利用到信号是有限带宽的假设外,没利用任何的其它先验信息.采集到 的数据存在很大程度的冗余.Donoho等人提出的压缩感知方法(Compressed Sensing或Compressive Sampling, CS)充分运用了大部分信号在预知的一组基上可以稀疏表示这一先验信息,利用随机投影实现了在远低于奈奎斯 特频率的采样频率下对压缩数据的直接采集.该
CS--design-MATLAB
- 基于MATLAB的图像压缩感知毕业设计说明书。运用matlab软件，在离散傅里叶变换（DFT）和离散余弦变换（DCT）分块CS的基础上，采用正交匹配追踪算法（OMP）实现了对一维信号和二维图像的高概率重构。将重构结果与原始信号对比，结果表明，只要采样数M（远小于奈奎斯特定理所需要的采样率）能够包含图像所需要的有用信息时，CS算法就能精确的完成对图像的重构，并且重构效果也比较好-Compressed sensing image graduation design specification bas
cs_ls_mse
- 此程序实现压缩感知方法与最小二乘方法在超宽带信道估计中实现信道估计的MSE对比。-This program is compressed sensing method with the least squares method is implemented in ultra-wideband channel estimation channel estimation MSE contrast.