pv1

说明：  matlab图像处理笔记 各种函数的用法大全(matlab image processing function of the use of a variety of Notebook Guinness)

chebshev high,low and band pass filters

图像截图完成一个简单的多媒体应用程序，包含：多媒体信息的获取、处理、展现三个基本过程。(this is a snapshot code)

时域有限差分方法在一维格子中计算麦克斯韦旋度方程(the finite-difference time-domain solution of Maxwell s curl equations over a one-dimensional space lattice comprised of uniform grid cells)

a matlab implementation of several common speckle filters

学习abaqus子程序umat的绝好例子，权威专家编写(Learning excellent examples of abaqus umat subroutine, leading experts to write)

matlab的并行处理方面的说明指导，能大大提高算法的速度，很有用(matlab parallel processing of instructions in the guide, can greatly increase the speed of the algorithm is useful)

《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.)

此程序用来产生相关的nakagami随机变量(基于“Generating Correlated Nakagami Fading Signals with Arbitrary Correlation and Fading Parameters)

说明：  乳腺癌的发病率在女性癌症中占据首位，开展乳腺癌的诊断和防治研究具有重要的科学意义和临床实用价值。 文中主要研究的是对超声图像进行分析，对其灰度和纹理特征提取进行研究，并在特征选择阶段使用类间距对单个特征的分 类能力进行评价，为后续研究计算机辅助诊断系统奠定一个初步基础。 (Extraction of Gray and Texture Features based on Ultrasonic Image of Breast Cancer)