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guangliu
- 用于物体追踪、图像匹配、运动估计的光流计算程序,计算量较大
HBMA
- HBMA为基于块的分级匹配算法,是一种典型的运动估计算法,适用于特征追踪和运动估计-HBMA classification based on block matching algorithm is a typical motion estimation algorithm for feature tracking and motion estimation
Wavelet_OMP
- 在小波基下的压缩感知仿真算法,恢复算法使用正交追踪匹配算法。-Under compression in the wavelet perception simulation algorithm to track recovery algorithm using orthogonal matching algorithm.
neural-network-for-PTV
- 一种新型神经网络方法对于粒子追踪测速。与于、普通的单个粒子分析,匹配的算法不同的是,该算法是基于小整体的众多粒子一起分析的。-A new type of neural network method for particle tracking velocimetry
2D_feature_finding
- 粒子追踪测速的相关程序,所使用的算法为最邻近原则,通过粒子链表形成匹配-Particle tracking velocimetry procedures, the algorithm used for the nearest neighbor principle formed by particles linked list match
PTV
- 粒子追踪测速迭代松弛算法的实现,粒子图像分割及匹配均为自行编制的子例程-Particle tracking velocimetry iterative relaxation algorithm, particle image segmentation and matching are themselves prepared subroutine
sp
- 压缩感知重构算法,子空间追踪匹配算法。它属于贪婪算法,在运行速度和重构概率上相对传统算法上要优越。-Compressed sensing reconstruction algorithm, subspace tracking matching algorithm. It belongs to the greedy algorithm, the running speed and reconstruction probability is relatively superior to the tr
OPM-matlab
- 基于压缩感知的匹配基追踪算法的matlab实现-Based on compressed sensing based tracking algorithm matlab matching
SIFT
- SIFT匹配(Scale-invariant feature transform,尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征,它在空间尺度中寻找极值点,并提取出其位置、尺度、旋转不变量,其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。-Matching SIFT (Scale invariant feature transform, Scale invariant feature transform) is a co
Block-Matching-Algorithm
- 用于视频目标追踪块匹配算法,在目标追踪里面性能优良,运行效果不错,调试可行-For video target tracking block matching algorithm, target tracking inside excellent performance, run well, debugging feasible
一维信号的匹配追踪重建
- 主要用于一维信号的稀疏分解,适用于Gabor等多参数字典求取最佳原子(It is mainly used for sparse decomposition of one-dimensional signals. It is suitable for Gabor and other multi parameter dictionary to obtain the best atom.)
压缩感知
- 本文分别以稀疏基有离散余弦变换基(DCT)和快速傅立叶变换基(FFT)做为稀疏基,高斯随机矩阵、部分哈达玛矩阵为测量矩阵,L1范数、正交匹配追踪算法(OMP)为重建算法进行压缩感知算法实现。(In this paper, DCT and FFT are used as sparse basis, Gauss random matrix and partial Hadamard matrix are used as measurement matrix, L1 norm and OMP are u
omp
- 压缩感知重构算法之正交匹配追踪(OMP)的算法实现(Implementation of Orthogonal Matching Pursuit (OMP) algorithm for compressed sensing reconstruction)
KSVD_OMP and ProximalGradientMethod
- 这是两个关于压缩感知重构的代码,KSVD(字典学习)以及OMP(正交匹配追踪),还有ProximalGradientMethod(近端梯度下降算法),希望能够对学习压缩感知的你们有所帮助。
BOMP
- 用于图像处理和信号DOA估计,是基于块稀疏的正交匹配追踪算法(This is an algorithm based on signal block sparsity, which can be used in image processing and signal DOA estimation)
sparse encoding
- 稀疏编码的例程,需要EEG数据。 包括匹配追踪和KSVD算法。
CS_OMP
- 是关于压缩感知磁共振成像的正交匹配追踪算法的具体实现,用于稀疏磁共振成像,可以进行仿真实验(The code is about the realization of compressed perceptual MRI. The running environment is matlab, which is a very classic code)
匹配追踪和正交匹配追踪
- matlab编写的MP及OMP代码,用于从一维振动信号的时域中提取冲击特征,注意难以去除时域信号中的随机冲击!
BOMP、omp恢复算法
- 压缩感知中的信号恢复算法正交匹配追踪算法OMP、块正交匹配追踪算法BOMP,BOMP应用于块稀疏信号的恢复
K_SVD和OMP算法在超声信号去噪中的应用
- 针对在线采集时超声波检测信号中存在大量噪声,降低了材料内部缺陷诊断准确性的问题,提出了一种基于广义K-奇异值分解算法(K-SVD)和正交匹配追踪算法(OMP)相结合的超声回波信号去噪算法。