emd

kalman filter for state space model using Gaussian distribution

采用混合算法完成多传感器数据融合课程的第一次作业。(finished the first homework through hybrid algorithm in multi sensor data fusion.)

一、观察序列频谱，观察信号通过系统后波形与频谱的变化。 系统函数，根据正准型结构（canonical form）编写样本处理算法。 (First, observe the sequence of the spectrum, observing the signal waveform and frequency spectrum through the system after the changes. System function, according to canonical structure (canonical form) the preparation of a sample processing algorithm.)

说明：  利用matlab求解贝塞尔函数(Using matlab to solve Bessel function)

MATLAB扩展编程DTW算法程序，需要自己录制语音(MATLAB Extended Programming DTW algorithm program needs its own voice recording)

适合初学者使用的非常清晰的人脸识别PCA算法，可运行成功。( a simple program, very useful!)

MATLAB SIMULINK SIMITH 控制模型(MATLAB SIMULINK SIMITH control model)

双馈风力电机模型，可以再修改，dq坐标下模型(Doubly-fed wind-electric model can be modified, dq model coordinates)

模糊聚类程序，只需把数据输入运行就可以得出你想要的结果，很简单，很方便(Fuzzy clustering procedure, simply enter data into operation can be drawn on the results you want is very simple, very convenient)

DAB发送端仿真，包括编码，删余，QPSK映射，频率交织，差分调制，循环嵌缀，加NULL、PRS,IFFT，信道(DAB sending end simulation, including coding, cut more than, QPSK mapping, interwoven frequency, differential modulation, the cycle is made up of inlay, plus NULL, PRS, IFFT, channel)