Ex_mod

matlab程序实现下面的功能：过程的输入驱动采用M序列，即u(k)是一个M序列。过程传递函数G(s)中K=120，T1=8.3Sec，T2=6.2Sec。过程的脉冲响应理论值g(k)满足。根据过程的输入输出数据u(k)和z(k)，利用相关分析算法估计出过程的脉冲响应值g2(k)，并且有。(Process input is driven by the M sequence, i.e., u (k) is an M sequence. Process transfer function G (s) K = 120, T1 = 8.3Sec T2 = 6.2Sec. The impulse response of the process of the theoretical value of g (k) meet. According to the process input and output data u (k) and z (k), the estimated impulse response of a process value g2 (k), and the correlation analysis algorithm.)

该文件内含有程序和详细的程序解读，从不同的角度完成统一任务：卷积编码(The document contains the procedures and detailed procedures for reading from a different point of view the fulfillment of the tasks: convolutional coding)

说明：  DSP课程例程： ① 为频率特性加频域容差图； ② 在对数幅频特性上加要求的指标标识； ③ 量化子程序的调用。(DSP courses routines: ① to increase the frequency characteristics of frequency-domain tolerances map ② in logarithmic amplitude-frequency characteristics of the indicators require additional identification ③ quantify subroutine calls.)

基于遗传算法的神经网络程序，共三个文件，主程序，适应值函数和应用示例(Based on genetic algorithm neural network, with a total of three documents, the main program, fitness function and application example)

图像插值程序，可以实现对图像的任意缩放，即可以图像尺寸改变为任意大小。(Image Interpolation procedures can realize arbitrary scaling of images, namely image size can be changed to any size.)

Twe-dimensional of streamers in gas by FTC

一个MATLAB gui 编程的实例,是初学MATLAB的必备研究实例(a matlab gui programming demo)

MATLAB neural network backprop code This code implements the basic backpropagation of error learning algorithm. The network has tanh hidden neurons and a linear output neuron. adjust the learning rate with the slider

for removal used to remove the fog and get clear image

D2D IoT and the code of multi cell equation will be detailled intthis section