pde-for-solving-partial-differential-equation

Implementing quadrature modulation and demodulation of analog signals in digital signal processing, using MATLAB

说明：  利用MATLAB语言编写的直流电动机开环启动和闭环启动特性分析(The use of MATLAB language open-loop DC motor start-up and characteristics of the closed-loop start)

基于最小二乘支持向量机对传感器的线性系统用MATLAB软件进行仿真建模程序(Based on least square support vector machine (SVM) of the linear system of sensor with MATLAB simulation modeling software program )

boost电路matlab仿真 采用电流闭环(boost circuit the matlab simulation using current closed loop)

完成SIMO系统盲均衡，利用改进的恒模算法，可以直接得到端正的星座图，无需额外的相位校正模块。自己编写的程序，验证可用。(Using the improved constant modulus algorithm to complete SIMO system equalization. The algorithm can obtain correct constellation directly, without additional phase correction module.)

随机过程中的泊松过程仿真实验,协方差，matlab(Stochastic poisson process simulation in the process of the experiment)

Artificial Immune-Based For Voltage Stability Prediction In Power System

说明：  基于运动模糊图像产生的原因，自编一个生产运动模糊图像的matlab程序，程序 需要输入模糊长度，默认模糊角度为0，包含一张图片(Based on the causes of motion blurred image, self production of motion blurred images of a matlab program, the program requires input fuzzy length, the default fuzzy angle 0)

The basic steps of the connected-component text extraction algorithm are given below, and diagrammed in Figure 10. The details are discussed in the following sections. 1. Convert the input image to YUV color space. The luminance(Y) value is used for further processing. The output is a gray image. 2. Convert the gray image to an edge image. 3. Compute the horizontal and vertical projection profiles of candidate text regions using a histogram with an appropriate threshold value. 4. Use geometric properties of text such as width to height ratio of characters to eliminate possible non-text regions. 5. Binarize the edge image enhancing only the text regions against a plain black background. 6. Create the Gap Image (as explained in the next section) using the gap-filling process and use this as a reference to further eliminate non-text regions the output.

Lecture2 code of Multimedia Security course for Watemarking technique,