lgkt-matlab

基于LS-SVM的多分类器的工具箱，版本的1.8的。该工具箱很好用，里面的分类我用过，效果比SVM强(LS-SVM classifier 1.8 version of the toolkit)

说明：  地震、测井方面matlab代码~可以适用于勘探开发中(SeisLab)

该程序完成高斯赛德尔潮流计算的功能，对初学者很有帮助。(The program completed high Sisaideer flow calculation function, useful for beginners.)

asfig function for wavelet processing in wavelab

对仿真弹道进行3个参数偏差的蒙特卡罗打靶分析，然后给出置信区间高度等等(THE REAL EXAMPLES)

小波包分析提取振动信号中的特征频率，在matlab R2009b调试通过，FMCW调频连续波雷达的测距测角。( Wavelet packet analysis to extract vibration signal characteristic frequency, In matlab R2009b debugging through, FMCW frequency modulated continuous wave radar range and angular measurements.)

主要绘制了牛顿环的光强分布图，光强可在透射与反射箭转换。(The main draw of the Newton ring of light intensity distribution, light intensity can be converted in the transmission and anti-archery.)

说明：  实现理想维纳滤波和FIR滤波对比。其中信号s(n)=as(n-1)+w(n),a=0.95(Achieve the desired Wiener filter and FIR filter comparison. Where the signal s (n) = as (n-1)+ w (n), a = 0.95)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

Simulink中stateflow事件驱动建模工具官方教程。里面是中文介绍。(Simulink, stateflow event-driven modeling tool for the official tutorial. Inside the Chinese introduced.)