sequence-generator

说明：  神经网络仿真的相关资料，如果下载的话请回复吧(very good，if you want more，please mail me)

使用这个matlab程序，你可以对图像实现加高斯白噪声或者椒盐噪声(whth this matlab code，You can add Gaussian white noise or salt and pepper noise on the purpose image )

This is the code for image segmentation using level set technique very good for beginning of image segmentation.

this is a series codes that used for simulation a cavity.

地震ppp波射线追踪模拟，由matlab语言编写，是学习地震方面的好资料。(Ppp seismic wave ray tracing simulation, written by matlab language, learning good information earthquake area.)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

matlab实现洛伦茨系统及相位图，已经测试无误可以直接运行(Lorenz system and matlab implementation phase diagram has been tested correctly can be run directly)

地球物理大地电磁测深一维正演，是求解析解(magnetotelluric 1D forward)

Matlab code with GUI for decoding ASCII characters into readable text

从图片中提取四种不同纹理特征，包括gabor、灰度共生矩阵、灰度直方图、灰度梯度共生矩阵纹理特征。(Four different texture features extracted the image, including gabor, GLCM, histogram, GGCM texture.)