搜索资源列表
cs
- 压缩感知的相关介绍和代码，有助于初学者的学习和使用-Compressed sensing related presentations and code, to help beginners learn and use
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
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
CS-and-wireless-sensor-networks
- 此压缩包包含了压缩感知与唔想传感器网络经典的文章十多篇，对研究压缩感知与无线传感网络的帮助很大-This package contains the compressed sensing A No sensor network with more than a dozen articles classic article, the study of compressed sensing and wireless sensor networks is very helpful
CS-IEEE
- 此压缩包包含了压缩感知最新的IEEE国际会议经典文章篇，对研究压缩感知帮助很大-This package contains the compressed sensing latest IEEE International Conference papers classic article, the study of great help compressed sensing
compressive-sensing
- 压缩感知中经典算法的matlab代码，如包含典型的匹配追踪算法，子空间追踪算法等等。-Compressed sensing classical algorithm matlab code, such as those containing the typical matching pursuit algorithm, subspace tracking algorithms and so on.
Introduction-Compressed-Sensing
- 压缩感知（CS）理论是在已知信号具有稀疏性或可压缩性的条件下，对信号数据进行采集、 编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型，并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。 -Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compress
Compressed-Sensing-Theory
- 用压缩感知理论对信号数据进行采集、编解码,进行数据恢复。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型.-Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compressible.
SL0andOMP
- SL0算法是一种基于近似L0范数的压缩感知信号重建算法,它采用最速下降法和梯度投影原理,逐步逼近最优解,具有匹配度高、重建时间短、计算量低、不需要信号的稀疏度这个先验条件等优点。-SL0 algorithm is an approximate L0 norm based compressed sensing signal reconstruction algorithm, which uses the steepest descent method and gradient projection
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；
BP
- 压缩感知Basis Pursuit基追踪算法，稀疏度和正确率的关系以及采样率和正确率的关系-Basis Pursuit based on compressed sensing and tracking relationships between sampling rate and accuracy of the algorithm, and the correct rate of sparsity
CS_MRI
- CS_MRI 压缩感知的图像使用全变差最小化，C理论学习型资料。-CS_MRI compressed images using total variation minimization of perception, C theory learning materials.
FISTA
- FISTA 压缩感知的图像使用快速迭代shrinkage-thresholding算法(小波sparsifying转换 傅氏域抽样磁共振成像和氡转换断层测量)- FISTA compression perception of image using fast iterative shrinkage- thresholding algorithm (magnetic resonance imaging (fmri) wavelet sparsifying transform fourier-
CS_OMP
- 图像压缩感知中采用正交匹配追踪算法回复图像。-Perception of image compression using orthogonal matching pursuit algorithm reverts images.
cs-code
- Matlab下的压缩感知稀疏恢复工具包 工具包BGIKS08 ， BIR08和BI08 。 -Matlab sparse compressed sensing under the Recovery Kit Kit BGIKS08, BIR08 and BI08.
compressed-sensing-omp
- 香港大学沙威教授编写的压缩感知omp算法，matlab-compressed sensing omp
cs
- 压缩感知及其实现，文章加代码过程分析-Compressed sensing and its implementation
OMP
- 压缩感知基于FFT的 omp 算法,有详细备注-CS omp
seqnum_compare
- 基于压缩感知的OFDM下的信道估计，与传统算法LS，MMSE的比较-Based on compressed sensing OFDM channel estimation under, with the traditional algorithm LS, MMSE comparison
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