GreedyAlgOfdmExample

经验模态分解的程序，由其他学者提供，使用方便高效。(emd programme)

采用buck-boost双向DC-DC变换，实现脉冲充放电，输入Ts=1e-4 (The buck-boost bidirectional DC-DC conversion, pulse charge and discharge the input Ts, = 1e-4 )

Real time optical flow, and video processing, with support for camera input in Matlab.(Start by running "runMe.m" Supports input through: a) synthetically generated test images b) reading avi-file c) camera input (requires image aquisition toolbox) Calculates optical flow by 4 different local methods(all moment based), 2 implementations of Lucas and Kanade, and 2 implementations of point-line flow. Can process easily hundreds of frames per second on a laptop for resolution 200x200 images.)

Function for power quality disturbances (Notch), lets customer to choose parameters

matlab源程序： 用Fisher两类判别法对样本进行分类 对样本进行主成分分析 用最短距离算法的系统聚类对样本进行聚类 用二次完全式回归法估计一个因变量与两个自变量之间的关系 (matlab source: The Fisher discriminant method, two types of samples to classify the samples by principal component analysis system using the shortest distance clustering algorithm for clustering of samples with the quadratic regression method to estimate a fully dependent variable and two independent variables of the the relationship between the)

说明：  ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。(: Mean-shift algorithm is a nonparametric density estimation algorithm, the optimal matching can be fast, real-time tracking fields in the target plays an important role. In order to effectively Mean-shift algorithm will be applied to the gray image, the histogram used to establish the direction of the strategy target model is proposed in the gray image to Mean-shift tracking algorithm as the core. Experimental results show that the algorithm has the advantage of not lighting conditions, in the case of low contrast can still achieve stability, real-time tracking of targets.)

用matlab编写的空间梁单元的源程序，里面包含了单元刚度矩阵的生成(Beam Element source matlab prepared, which contains the element stiffness matrix generation)

lms filter adaptive filter for decrease noise

对helmholtz方程的matlab编程 (helmholtz)

matlab上机实验：系统响应及系统稳定性(System response and system stability )