QPSK

说明：  x=2*sin(4*pi*t)+5*cos(8*pi*t) 对其进行快速傅立叶变换 加入高斯噪声 再进行频谱分析(x = 2* sin (4* pi* t) 5* cos (8* pi* t) makes its rapid Fourier transform to re-Gaussian noise spectral analysis)

最小二乘回归分析算法，用matlab修解一元线性回归问题(zuixiaoercheng)

无约束条件的最优控制，并且举例说明程序如何运行(Unconstrained optimal control, and examples)

这是一个Lyapunov指数计算方法文件，里面有基本的混沌识别方法和混沌预测方法，很有用。(This is a calculation of Lyapunov index files, which are the basic identification method and chaos chaotic forecasting method, very useful.)

Practica 4 par hacer un robot de 4 grados de libertad simulado en Simulink

用脉冲响应不变法和双线性变换法设计数字带通滤波器(Impulse response using the same method and bilinear transformation method the number of band-pass filter design)

EKF,PF,MVEKPF仿真算法，关于这几种卡尔曼滤波算法、粒子滤波算法的仿真对比分析。(The simulation algorithm of EKF,PF,MVEKPF。 About the several kalman filtering algorithm, particle filter algorithm simulation analysis. )

用GM算法进行MA参数估计,高阶谱估计的实例，累积量算法(GM algorithm using MA parameter estimation, higher-order spectrum estimation examples of accumulation algorithm)

基于MATLAB的信道估计LS代码 可运行(MATLAB-based channel estimation of the LS code can run)

数字图像在产生过程中经常会受到噪音污染。因此，对于数字图像应该对其进行去噪音处理。在传统的基于傅里叶变换的信号去噪音方法中，可以使得信号和噪音的频带重叠部分尽可能的小，这样就可以在频域通过时，不需改变滤波方法而将信号和噪音分隔开来。但是，如果信号和噪音的频域重合时，用该方法进行噪音处理的效果就比较差。(digital image in the selection process will be subject to regular noise pollution. Therefore, the digital image should be carried out to deal with the noise. Based on the traditional Fourier Transform method of signal to noise, can result in a signal and noise bands overlap small as possible, so it can be adopted in the frequency domain, the need to change methods of filtering the signal and noise to separate. However, if the signal and noise in the frequency domain coincidence, the method for dealing with the effects of noise on the relatively poor.)