Ex15_2_ParticleEx2

matlab code or seismic segy reading

捕食-被捕食者生态系统平衡的系统动力学仿真，用matlab编写的(Predator- prey ecosystem balance system dynamics simulation, written with matlab)

program tracking red object

本程序描述了有导师学习神经网络回归拟合的一般方法，简单易懂(This procedure describes the teacher learning neural network and the method of regression fitting, easy to understand)

HISTOGRAM EQUALIZATION

本书面向MATLAB 的初中级读者，在介绍MATLAB R2014a 集成环境的基础上，对MATLAB 使用中常用的知识和工具进行了详细的介绍，书中各章均提供了大量有针对性的算例，供读者实战练习。 根据内容的侧重点不同，全书分为4 部分共20 章：第1～5 章为基础部分，讲解MATLAB R2014a 概述、MATLAB 基础知识、数组与矩阵、MATLAB 编程基础及数据可视化等；第6～8 章为数学应用部分，讲解数据分析、符号数学计算和概率统计等；第9～15 章为工程应用部分，讲解偏微分方程、优化、图像处理、信号处理、小波分析等工具箱，Simulink 仿真基础及应用等；第16～20 章为知识拓展部分，讲解句柄图形对象、图形用户界面、文件读取I/O、MATLAB 编译器和外部接口应用介绍等内容。为了使用户能够更好地操作MATLAB，本书中示例的命令已记录在M 文件及其他相关文件中，用户可以将相关的目录设置为工作目录，直接使用M 文件进行操作，以便快速掌握MATLAB 的使用方法。(This book is for the middle-class readers MATLAB, MATLAB R2014a based on the introduction of the integrated environment, the use of MATLAB common knowledge and tools are described in detail in the book each chapter offers a lot of targeted studies, for Readers combat exercises. Depending on the focus of the content, the book of 20 chapters divided into 4 parts: 1 to 5 for the basic part, explain MATLAB R2014a overview, MATLAB basics, arrays and matrices, MATLAB Programming Fundamentals and data visualization 6-8 Chapter mathematical application part, explain the data analysis, symbolic math and probability and statistics 9 to 15 for the engineering part, explain the partial differential equations, optimization, image processing, signal processing, wavelet analysis toolbox, Simulink Simulation Fundamentals and applications 16 to 20 chapters expand knowledge part, explain handles graphic objects, the graphical user interface, file read I/O, MATLAB Compiler, and an external interface a)

create feature untuk feature horisontal

分数阶傅里叶变换，主要对SAR信号进行处理，使数据处理量大大减少。(Fractional Fourier transform, mainly on the SAR signal processing, the data processing is greatly reduced.)

用MATLAB编写的一种新的神经网络训练程序，可以按照要求训练网络。(MATLAB prepared a new neural network training program, we can follow the training requirements of the network.)

Text Processing example, a program to recognize tokens