EKF-UKF-PF-matlab

Kalman filter examples,learn_kalman

用matlab编的一个计算功率谱的现成的程序，输入两个输入的序列后，可以画出两个信号的功率谱的比较(comput the power fig)

基于matlab/simulink的无刷直流电机控制系统仿真，设计了速度电流双闭环。(Based on matlab/simulink for brushless DC motor control system simulation, design speed current double closed loop.)

说明：  simulink系统仿真：10kV 母线短路容量为10MVA，通过额定电压10/0.4kV，额定容量为100kVA，短路阻抗为5％的变压器与负荷相连， 阻感负荷RL 容量为50kVA，功率因数0.9。电力电子装置产生的5 次和7 次谐波电流均为5A；为了抑制7 次谐波在400V 母线处接入电容与变压器构成7 次滤波器。(simulink System Simulation: 10kV busbar short-circuit capacity of 10MVA, through the rated voltage 10/0.4kV, the rated capacity of 100kVA, short-circuit impedance of 5 of the transformer and load connected to sense the load resistance RL capacity 50kVA, power factor of 0.9. Generated by power electronic devices 5 and 7 harmonic currents are 5A to suppress harmonics in the 400V bus 7 access to capacitors and transformers constitute at 7 filter.)

69个数学建模的经典例子，学会用matlab等工具进行数学建模。(69 classic example of mathematical modeling, and learn to use tools such as matlab mathematical modeling.)

非线型因素分析matlab仿真程序包，非常好用(non-linear analysis Matlab simulation package, a very handy)

matlab simulink implementation and analysis of Three-phase inverter5

仿真图是速度、距离、幅度三维图像，用于图像处理的独立分量分析，关于神经网络控制，对于初学者具有参考意义，相关分析过程的matlab方法，多目标跟踪的粒子滤波器，研究生时的现代信号处理的作业，包括最小二乘法、SVM、神经网络、1_k近邻法。( FIG simulation speed, distance, amplitude three-dimensional image, Independent component analysis for image processing, On neural network control, For beginners with a reference value, Correlation analysis process matlab method, Multi-target tracking particle filter, Modern signal processing jobs when the graduate, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)

这是关于卷积与Z和S映射的MATLAB源代码，含有基本操作的源代码，希望对大家有所帮助。(This is on the convolution with the Z and S mapping MATLAB source code, containing the basic operation of the source code, I hope to help all of you.)

SUSAN算子检测图像边缘和角点，可以自己定义不同的检测模板，实现不同功能的角点检测。(SUSAN operator detect image edges and corners, can define a different template to different functions of the corner detection.)