smith-chart

开发环境是FPGA开发工具，主要讲解用CPLD/FPGA实现浮点数的运算(Development environment is the FPGA development tools, primarily on the use of CPLD/FPGA to achieve floating-point arithmetic)

- XCS for Dynamic Environments + Continuous versions of XCS + Test problem: real multiplexer + Experiments: XCS is explored in dynamic environments with different magnitudes of change to the underlying concepts. +Reference papers: H.H. Dam, H.A. Abbass, C.J. Lokan, Evolutionary Online Data Mining – an Investigation in a Dynamic Environment. 2005, accepted for a book chapter in Springer Series on Studies in Computational Intelligence H.H. Dam, H.A. Abbass, C.J. Lokan, Be Real! XCS with Continuous-Valued Inputs. IWLCS 2005, (International Workshop on Learning Classifier Systems). Washington DC, June 2005.(- XCS for Continuous Dynamic Environments Test versions of XCS problem : real multiplexer Experiments : XCS is explored in dynamic environments with di fferent magnitudes of change to the underlying concepts. Reference papers : H. H. Dam, H. A. Abbass, C. J. Lokan. Evolutionary Online Data Mining-an Investiga tion in a Dynamic Environment. 2005. accepted for a book chapter in Springer Series o n Studies in Computational Intelligence H.H. D am, H. A. Abbass, C. J. Lokan. Be Real! XCS with Continuous- Valued Inputs. IW LCS 2005. (International Workshop on Learning Classifi er Systems). Washington DC, June 2005.)

一种二值化方法，使用图像纹理分割，基于MATLAB平台(A kind of binarization methods, texture segmentation, based on MATLAB platform)

快速傅里叶变换自编程序，直接运行即可，简单方便实用(Fast Fourier Transform self program can be run directly, simple and convenient and practical)

机器人定位中的EKF-SLAM算法，用扩展卡尔曼滤波的方法实现同时定位和地图构建(Robot localization algorithm EKF-SLAM，Using extended Calman filter method to achieve the simultaneous localization and map building)

基于数据建模正交矩阵分解程序,基于Matlab语言实现(Program for OMD of data-based modeling，implemented by using matlab)

使用EKF和粒子滤波在简单的平台上实现定位，是本人在华盛顿大学机器人课程作业的基础上编写完成的，可以作为滤波和移动机器人定位的基础教程使用。 Author：Wilford Wang PS. 可以先下载本人之前上传的Project-1.rar(华盛顿大学的课题作业)，自行编写，再与我写的程序做比较，可以达到比较好的学习效果。(Using the EKF and particle filter in a simple platform for location, is my course work at the University of Washington, based on the robot to complete the writing can be used as filtering and mobile robot localization based tutorial. Author: Wilford Wang PS. Before I can upload to download the Project-1.rar (University of Washington project work), write your own, and I wrote the program and then compare, you can achieve better learning results.)

matlab code for machine learn duda

PLS算法的matlab程序实现，只要将txt中的代码复制到matlab即可-PLS (algorithm matlab program, simply txt the code can be copied to matlab)

DFIG phasor model for LVRT capability systems