1-50t

在运动的位置叠加噪声。进行JPDA概率数据关联及kalman滤波。 两运动目标在x-y平面做匀速直线运动。初始位置是（4000,1200）（300,1500）速度分别是（200,200）（400,200）传感器对量目标进行位置状态量测。 采样间隔T=1,点数n=80.检测概率为1，正确量测落入跟踪内的概率为0.99，杂波均匀分布的密度为2个/km2由RAND函数产生在[0，1]上均匀分布的随机变量，跟踪门限为9.21。 (Superimposed noise in the position of the movement. JPDA probabilistic data association and kalman filtering. Two moving targets uniform linear motion in the xy plane. The initial position (4000,1200) (300,1500) speed (200,200) (400,200) position sensor on the amount of target state measurements. Sampling interval T = 1, points n = 80. Detection probability of correctly measured fall into the tracking probability 0.99, 2/km2 clutter uniform distribution of density generated by the RAND function [0,1] uniformly distributed random variables tracking threshold of 9.21.)

多项式拟合的MATLAB工具。只要具有以下几个函数 POLYFITN - A general n-dimensional polynomial fitting tool POLYVALN - An evaluation tool for polynomials produced by polyfitn POLYN2SYMPOLY - A conversion tool to generate a sympoly from the results of polyfitn POLYN2SYM - A conversion tool to generate a symbolic toolbox object from the results of polyfitn (Polynomial fitting of the MATLAB tools. As long as have the following functions POLYFITN- A general n-dimensional polynomial fitting toolPOLYVALN- An evaluation tool for polynomials produced by polyfitnPOLYN2SYMPOLY- A conversion tool to generate a sympoly from the results of polyfitnPOLYN2SYM- A conversion tool to generate a symbolic toolbox object from the results of polyfitn)

精通MATLAB参考源码第八章，喜欢MATLAB和神经网络的可以好好学习下，绝对的好资源！(Chapter VIII proficient MATLAB reference source, like MATLAB and neural networks can learn, the absolute good resource!)

eye picture示模型。修改高斯白噪声信道的SNR值可以看到不同情况下的eyepicture (eye picture show model. Modified Gaussian white noise channel SNR value can be seen under different circumstances eyepicture)

一个估计garch（1,1）的matlab程序(matlab code for estimating garch（1,1）)

运动模型的matlab实现，二维三维模型(the realizing of motion sports by matlab,contain two dimension and three dimension)

在matlab环境中，关于用支持向量机算法进行训练的M文件(M file of matlab on support vector mechine classify)

lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测(Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction)

this tuturial is a basic of Matlab.This document is a guide for Matlab begginers and for people who want to be an experts,too.

Matlab fdtd using PML incidindo num cilindro.