mbclust

解释什么是loopgain,用于RF的设计(It is useful for loopgain in the RF design.)

计算超声射频数据的实用程序，主要对数据进行滤波操作，进行频谱分析。(Utility calculation ultrasound radiofrequency data, data filtering, spectrum analysis.)

说明：  一些用matlab编制的智能优化算法的的测试函数程序(Some prepared to use matlab Intelligent Optimization Algorithm function test procedures)

本书籍介绍了EMD信号处理方法在LabVIEW以及MATLAB中实现方法，简单易懂(This book introduces realization method of the EMD signal processing method in LabVIEW and MATLAB，simple and easy to understand)

Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.(Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.)

这个程序是在matlab环境下编写的，通过对两幅图像分析，然后进行模板匹配(This program is written in the matlab environment, through the analysis of two images, and then template matching)

说明：  关于通信原理系统的PDM调制的一个小程序(on communication principle of PDM system modulation of a small program)

induction motor graph simulation

《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.)

To find the contrast of an image locally.