全部的能量熵的计算程序

in this package are the programs needed to solve any system of nonlinear equations

压缩程序为计算向量场的程序，初始参数可以自己按要求更改，隶属度程序可以给出结果图形，参数依然可以在matlab环境下调整。(Compression program for the calculation of the vector field program, the initial parameters can be changed as required, the membership program can give results graphics parameters can still adjust the Matlab environment.)

说明：  遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法，做了相应的改进(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)

图像的混沌加密算法，实现图像的混沌加密。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

Multi-class Coding (adapted from from LS-SVM for SPIDER). Encode (code_MOC, code_ECOC, code_OneVsAll, code_OneVsOns) and decode (codedist_hamming, codedist_bay) a multi-class classification task into multiple binary classifiers.

match filter simulation program

对三种不同数值的RCS，SNR相对检测距离的仿真以及对三种不同数值的雷达峰值功率，SNR相对检测距离的仿真(radar SNR RCS)

MATLAB　７电子教程，英文。不可多得的学习资料，学习自控的必备工具书(MATLAB 7 e-tutorials and English. The rare learning materials, learning self-control essential tool for the book)

This codes describe eigenvector assignment method (2 ways). The example is done by aircraft model but the end user can modfied the model and apply this code with different one

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.)