Dynprog

说明：  讲述信号处理中互相关技术的使用原理，并以超声波为例子，来说明其实用性。(About the cross-correlation signal processing techniques in the use of principles, and to ultrasound as an example to illustrate its practicability.)

ar模型检验 用于matlab中 比较简单 (ar model for matlab )

最优化的共轭梯度法，适应于两个参数的无条件极值的求取(Matlab process)

用matlab编写的程序，关于MATLAB图像处理的中计算图像的欧拉数。(Matlab program, about calculation in matlab image processing of the euler number of image。)

Simple mouse control using motion detection with matlab. It s not perfect, just an outline, needs improvements.

说明：  线阵波束形成，线阵天线的波束形成，用于接收不同方向的信号(Line Array Beamforming)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)

long line model for 3phase system

Anfis controller for double inverted pendulum.Designer mohammad vahedian

将脑电波数据转换为脑电波谱并显示为脑电谱图像(EEG to Tones)