MeanShift算法matlab代码

Liquid State Machine toolbox

基于矩量法的二维金属体散射（内含matlab程序）(2-D metal scattering based on MOM(including matlab code))

说明：  Chebyshev 用切比雪夫多项式逼近已知函数 Legendre 用勒让德多项式逼近已知函数 Pade 用帕德形式的有理分式逼近已知函数 lmz 用列梅兹算法确定函数的最佳一致逼近多项式 ZJPF 求已知函数的最佳平方逼近多项式 FZZ 用傅立叶级数逼近已知的连续周期函数 DFF 离散周期数据点的傅立叶逼近 SmartBJ 用自适应分段线性法逼近已知函数 SmartBJ 用自适应样条逼近（第一类）已知函数 multifit 离散试验数据点的多项式曲线拟合 LZXEC 离散试验数据点的线性最小二乘拟合 ZJZXEC 离散试验数据点的正交多项式最小二乘拟合 (Interpolation function)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

模拟退火优化算法的matlab版本，是由P. Salamon, P. Sibani, and R. Frost 等人开发的 Simulated Annealing Tools Software ，可以用于方便进行模拟退火优化 的应用实践

神经网络通过模拟人的神经元活动，来构造分类器。它的基本组成单元称为”神经元”，离线情况下如果输入大于某值时，设定神经元处于兴奋状态，产生输出，否则不响应。而这个输入来自于所有其它的神经元。而神经元的响应函数有多种(需要满足可微，这种简单的函数可以拟合任何非线性函数)，选择sigmod函数。BP神经网络的关键在于推导权值和阈值的更新公式。 BP的基本思想：信号的正向传播  误差的反向传播： –正向传播：输入样本从输入层传入，经各隐层逐层处理后，传向输出层。   –反向传播：将输入误差以某种形式通过隐层向输入层逐层反传，并将误差分摊给各层的所有单元，从而获得各层单元的误差信号来作为修正各单元权值的依据。

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秒针模拟程序c源码Seconds simulation program c source(Seconds simulation program c source Seconds simulation program c source)

利用有限差分算法实现动力学方程的求解单个球体在环形容器中运动分析(Finite difference algorithm for solving the dynamic equations in a single sphere in the circular movement of the container)

code FFT for matlab I do project about voice classification system. But, I can t continuous coding. If you understan my project, you will contect to me. Thank.