msk_matlab

The following fuzzy modeling exercises run in the MATLAB environment. The interaction required by the user is guided by instructions and editable fields menus. The user can change various parameters of a system, and execute modeling commands to verify the resulting system. In some exercises, it is also possible to manually edit the fuzzy system initially generated with the parameters given by the user, in order to enhance and fine tune the performance of the model.

卡尔曼滤波与组合导航的电子书，很多经典的一本书，西工大秦永元编著(Kalman filtering and navigation of e-books, many of the classic book, edited by NPU ROCKETS)

用于函数优化问题的混合粒子群文化算法源程序(program of function optimization based on Cultural algorithm )

《MATLAB图像处理实例详解》源代码 第15 章 ( MATLAB image processing example explanation Source Code Chapter)

采用四元数算法，来确定飞行器的姿态状况，同时通过PID方法，调节飞行器的飞行姿态。(Quaternion algorithm to determine the status of the aircraft s attitude, but by PID method, adjusting aircraft flight attitude.)

介绍无源定位的方法，对于无源定位和误差分析极有帮助。(Introduced the method of passive location, location and error analysis for the passive extremely helpful.)

这是一个有关PI模型系统辨识的MATLAB程序，并附有MATLAB仿真30个案例以便于学习(This is a PI model identification program)

利用列维（levy）法进行系统辨识，主要用于参数辨识(The use of Levy (levy) system identification method, mainly used for parameter identification)

利用最小方差方法估计复正弦加白噪声得平稳信号的功率谱(After using the method of minimum variance estimate sine smooth white noise to the signal power spectrum)

说明：  用蚁群算法做图像边缘检测，过程中采用四种核函数用来做分割，最后产生不同结果用来比较。(Using ant colony algorithm to do image edge detection, the course of four kernel function used for partitioning, and finally used to compare different results.)