dataset_618531

in this zip folder contains the how to extract the key frames and how to add the noise and RGB.

延迟微分方程基于MATLAB符号计算的逐步算法(Delay Differential Equations MATLAB symbolic computation based on the step-by-step algorithm)

说明：  turbo coding and simulation part 3

使用matlab代码，实现心形图像的绘制(Using matlab code to draw heart-shaped images)

说明：  多种群遗传算法的函数优化算法，通过多个种群之间的相互交流，加强遗传算法的寻优能力(The function optimization algorithm of multi population genetic algorithm strengthens the optimization ability of genetic algorithm through the mutual communication of multi population)

msk的malab仿真，其中详细绘制了msk调制解调的信号图形(msk malab the simulation, which detailed mapping msk the modulation and demodulation of signals Graphics)

遗传算法求最优解，可以运行，非常好的例子，可以学习一下，附有注释(Genetic algorithms for the optimal solution, you can run, very good example, you can learn about, annotated)

基于MATLAB编写的双线性插值法函数，用于通过双线形插值法实现灰度图像的缩小和放大(Function of Bilinear Interpolation for Digital Image Processing)

WiMAX物理层平台搭建，并实现了物理层小数时延和整数时延的添加，并并一定方法实现对时延的估计(WiMAX physical platform building, and implements the fractional time delay and integer delay to add the physical, and a certain method of time delay estimation)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)