matlabpca

kalman and condensation filter bouncing ball implementation

IEEE TRANSACTIONS ON SIGNAL PROCESSING定位与跟踪经典文献“Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution”的Matlab程序。进行信号源被动定位与跟踪研究的童鞋可下载进行学习研究。(IEEE TRANSACTIONS ON SIGNAL PROCESSING positioning and tracking classic literature " Source Localization Using TDOA and FDOA Measurements in the Presence of Receiver Location Errors: Analysis and Solution" in Matlab.)

仿照着《小波去噪中软硬阈值的一种改良折衷法》一文写的程序，对比了软、硬以及软硬阈值折衷法的信噪比及均方根误差。仿真出来之后，原信号的信噪比是负的，不知道为什么？均方根误差的值也比较大，不知何解？信噪比和均方根误差是参照《基于matlab的小波去噪仿真》：吴伟，《信息与电子工程》 一文写的(Modeled on the written procedures of the hard and soft threshold wavelet de-noising an improved compromise " , compared to the soft and hard compromise between the hard and soft threshold signal-to-noise ratio and root mean square error. Out of the simulation, the signal-to-noise ratio of the original signal is negative, do not know why? The value of the root mean square error is relatively large, do not know why? Signal-to-noise ratio and root mean square error with reference to the wavelet denoising matlab-based simulation: Wu Wei, " Information and Electronic Engineering" written)

用内点法实现电力系统潮流的优化问题上，代码完整，已经通过测试(Interior point method for power system optimization)

说明：  为作业最终的仿真结果与分析 PL_free.m：free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B(120km/hr) channel model AWGN.m: create AWGN channel object(The final for the job simulation results and analysis PL_free.m: free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B (120km/hr) channel model AWGN.m: create AWGN channel object)

光在格子中传播,前30为有格子，后35为无格子，描述其轨迹(propogaton in lattice for the first 30,there be in lattice and the nex 35 thera is no lattice)

Bayesian Model Selection

关于matlab与simulink的pdf文档，对初学者来说是不错的教程(Matlab and simulink on the pdf document, for it is a good tutorial for beginners)

PCA特征脸 可以获得ORL库的特征连图像。(PCA face)

nonmaxsup——非最大值抑制 hysthresh——设定阈值区间，返回一个二值化图像 canny——边缘探测，图像边缘增强 adjgamma——调整图像的伽马值 findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标 circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标 houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆 findcircle——计算所得线上各点的坐标归纳出一个圆的半径和圆心，确定该圆的各点坐标 gaborconvolve——利用一维盖伯滤波器对图像进行处理 gethammingdistance ——返回两幅虹膜图像提取的特征码之间的海明距离 linecoords——返回一条线的上各点的x,y坐标值(nonmaxsup- non-maximum suppression hysthresh- set the threshold range, returns a binary image canny- edge detection, image edge enhancement adjgamma- adjust the image' s gamma value findline- linear Hough transform and Canny edge detection get the coordinates of each point circlecoords online- Returns coordinate houghcircle on the circle of the radius and center coordinates of the points decision pixels- After taking a picture canny transformation, using hough transform to find the image of a circle findcircle- the calculated coordinates of each point line summed up a circle of radius and center, to determine the coordinates of each point of the circle gaborconvolve- using a 维盖伯 filter for image processing gethammingdistance- returns two iris images extracted linecoords Hamming distance between the signature- a return line to the points on the x, y coordinate values)