搜索资源列表
signatureSal
- 图像特征是稀疏信号的很好表达,使用简单的操作可以对图像进行恢复。此代码可用于用于图像特征的基准。-the image signature is a good descr iptor for sparse signals, which support can be approximately recovered using extremely simple operations. The MATLAB scr ipts for benchmarking of image signature
ShearLab-PPFT-1.0
- 图形处理中需要用到的剪切小波变换。可以稀疏表示信号。-Graphics processing needed shear wavelet transform. Sparse representation of the signal.
KSVD
- 压缩传感中稀疏字典KSVD算法,能实现信号的稀疏表示,和图像重构-important to image
OLS_sparsereprention
- 基于稀疏表示的正交最小二乘法,使用的语言是matlab,应用比较广阔,设计信号处理中的信号回归,图像处理的压缩等。-Sparse representation based on orthogonal least squares method, the language used is matlab, relatively broad application, design signal processing signal return, image processing, compression
CS_OMP
- 正交匹配追踪法实现1-D信号压缩传感,测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构-Orthogonal Matching Pursuit
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;
Sparse-Representation
- 稀疏表示,可以用于分析信号处理的算法程序-sparse representation
Demo_RSC_AR_disguise
- 稀疏表示人脸识别算法。稀疏表示是最近几年信号处理领域的热点之一,简单来说,它其实是一种对原始信号的分解过程,该分解过程借助一个事先得到的字典(也有人称之为过完备基,overcomplete basis,后面会介绍到),将输入信号表示为字典的线性近似的过程。-Sparse representation recognition algorithms. Sparse representation is one of the last few years the hot field of signal
De423sktop
- 【谷速软件编程】matlab源码-平滑稀疏采样信号和图像的直方图 可以作为参考使用,程序是word版本 -[Valley] matlab source software programming speed- smooth sparse sampling signal and image histogram can be used as a reference, the program is a word version
ica
- 信号的稀疏表示就是将信号投影到正交变换基-Sparse representation of the signal is a signal to the orthogonal projection transform base
SparseDeconv_software
- 基于1范数的稀疏信号反卷积算法的程序代码,语音信号、迭代算法-The sparse signal deconvolution algorithm based on 1 norm of program code, speech signal, an iterative algorithm
WaveletApproximate12
- 基于gabor原子库的一维语音信号的稀疏分解-Gabor Atomic library
Wavelet_OMP_WD
- 压缩感知,通过开发信号的稀疏特性,在远小于Nyquist 采样率的条件下,用随机采样获取信号的离散样本,然后通过非线性重建算法完美的重建信号-Compressed sensing, through the development of signal sparse characteristics, in the condition of far less than the Nyquist sampling rate, the use of random sampling to obtain the
liu1
- 时域稀疏的简单信号进行仿真,滤波器系数服从高斯分布-Time-domain signal sparse simple simulation Gaussian filter coefficients
27220065
- 利用正交匹配跟踪原子库对信号进行稀疏分解程序-Using orthogonal matching pursuit atom libraries for signal sparse decomposition process
KSVD-ToolBox
- KSVD稀疏表示matlab代码,有3个demo示例程序,可实现一维二维信号的稀疏表示。-K SVD sparse representation matlab code, there are three demo sample program can achieve one-dimensional two-dimensional signal sparse representation.
Sparse_Representations_classifier
- 信号的稀疏表示,包含需要的cvx文件,有【15,20】的信号为例-Sparse representation of the signal, cvx file containing the required, there is a signal [15,20] Case
as_rpca
- 本程序主要是处理图像的,主要是用于求解被高幅度尖锐噪声而不是高斯分布噪声污染的信号分离问题~把问题矩阵分解成一个低秩表示的矩阵和一个稀疏矩阵,优化目标函数,用ALM方法是求解的~-This procedure is mainly to deal with the image, mainly for solving high-amplitude sharp noise rather than Gaussian noise distribution of the signal separation
ONSL0
- ONSL0稀疏重构算法是NSL0的优化版 输入: y:测量值向量 A:测量矩阵 A_pinv:A的广义逆 输出: xr:重构信号 用于对信号或者图像的压缩重构-ONSL0 u7A00 u758F u91CD u6784 u7B97 u6CD5 u662FNSL0 u7684 u4F18 u5316 u7248 u8F93 u5165: y: u6D4B u91CF u503C u5411 u91CF A: u6D4B u91CF u7
compressing
- 应用傅立叶变换矩阵对信号进行稀疏,经高斯随机观测矩阵观测,经正交匹配追踪算法重构.压缩感知入门程序-The Fourier transform matrix is used to spill the signal. Observed by Gaussian random observation matrix and reconstructed by orthogonal matching tracing algorithm. Compression Sensing Getting Started