kalman-(G)

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.

说明：  converm image to bainery

image compression using combination of spiht and iwt based predictive coding

matlab软件教程ppt文件，主要包括矩阵数值运算等，包含小算法程序及应用实例。(matlab software tutorial ppt files, including matrix numerical computation, including the small algorithm procedures and application examples)

SVPWM仿真的matlab模块，仅供参考。(SVPWM simulation matlab module, for reference only.)

KNN algorithm for matlab

华氏温度(TF)、摄氏温度（TC）、开氏温度（TK）、兰金温度（TR）之间的换算(Fahrenheit (TF), Celsius temperature (TC), Kelvin temperature (TK), the translation between the Rankine temperature (TR))

different matlab code for convolution, discrete fourier transform, finite impulse response, inverse DFT, descimator

implementation of multi classes negative selection algorithm

增量式PID控制算法Matlab仿真程序 设一被控对象G（s）=50/(0.125s^2+7s),用增量式PID控制算法编写仿真程序（输入分别为单位阶跃、正弦信号，采样时间为1ms，控制器输出限幅：[-5,5],仿真曲线包括系统输出及误差曲线，并加上注释、图例）。(Incremental PID control algorithm Matlab simulation program to set up a controlled object G (s) = 50/(0.125s ^ 2+7s), with incremental PID control algorithm simulation program written (unit step input, respectively, sinusoidal signal sampling time is 1ms, the controller output limiter: [-5,5], including simulation system output and error curve curves, plus notes, legend).)