matlab-imm

连续时间信号与系统的复频域分析，包含拉普拉斯变换；求解传递函数零点、极点；时域响应等。(Complex frequency domain continuous-time signals and systems analysis, including Laplace transform solving transfer function zeros, poles such as time-domain response.)

灰色预测，求关联度、极差、关联系数以及后验差检验(Gray predicts that demand correlation, poor, poor correlation coefficients and posterior test)

垂直分层编码ZF检测算法程序代码问题，此程序是在调制方式为QPSK或4QAM下，未编码的V-BLAST系统 计算噪声功率时,信号的功率要用总的接收信号的功率.每根接收天线上的噪声功率是相同的.同时总的信号能量归一化,每根天线上发送的信号能量是总的发 送能量的1/Nt,其中Nt是发送天线数, 改变发送天线Nt和接收天线数目Mt,可以比较QPSK和4QAM时4发4收,4发6收,8发8收,8发12收等多发多收的情况 (Vertical stratification coding ZF detection algorithm program code, the process is in a way for QPSK or 4 QAM, not coding V-BLAST system Calculating noise power, the power of the signal with general received signal power. Each root receiving antenna on the noise power are the same. And general signal energy normalization, each blade on the signal energy send antenna is overall hair Send energy 1/Nt, of which is transmitting antenna Nt number, change the transmitting antenna Nt and receiving antenna number Mt, can compare QPSK QAM and 4 when the hair 4 4, 4 hair and accept, eight hair 8 accept, eight hair 12 accept etc multiple collect more of the situation )

Matalab code for deec variants protocols

基于蒙特卡罗法2PSK系统抗噪声性能仿真 编写MATLAB的M文件，用该文件的采用相干解调法的2PSK系统的抗噪性能进行1000个符号的蒙特卡罗法仿真，画出误码率与信噪比之间的关系曲线(Based on the Monte Carlo simulation of anti noise performance of 2PSK system Write a MATLAB M file, the file by using the coherent demodulation method for 2PSK system anti-noise performance of 1000 symbols of the Monte Carlo simulation, draw the error rate and signal to noise ratio and the relation curve between the )

任意阶zernike多项式的计算，在进行波前拟合时可调用(Zernike any order polynomial terms, during the fitting can be called wavefront)

说明：  该程序用一种16QAM信号源进行数字预失真的仿真，有一定的参考价值。(The program with a 16QAM signal simulation for digital pre-distortion, there is some reference value.)

使用主成分分析法（PCA, Principal Component Analysis）进行颜色转换(Color Transfer)的Matlab程序(Function to implement the Color Transfer using PCA (Principal Component Analysis).)

说明：  ADRC 主要功能是结合PID控制器来抵抗干扰，可运行(ADRC The main function is to combine with PID controller to resist interference and operate)

神经网络在线训练和控制仿真程序，控制一个二关节机器人。(online training neural network simulation and control procedures, controls a two joint robot.)