wjsclV1.2

％ PURPOSE : Demonstrate the differences between the following filters on the same problem: ％ ％ 1) Extended Kalman Filter (EKF) ％ 2) Unscented Kalman Filter (UKF) ％ 3) Particle Filter (PF) ％ 4) PF with EKF proposal (PFEKF) ％ 5) PF with UKF proposal (PFUKF)( PURPOSE: Demonstrate the differences between the following filters on the same problem: 1) Extended Kalman Filter (EKF) 2) Unscented Kalman Filter (UKF) 3) Particle Filter (PF) 4) PF with EKF proposal ( PFEKF) 5) PF with UKF proposal (PFUKF))

实用matlab simulink搭建的风力发电机在孤岛运行条件下的仿真分析。(Wind turbines in the the island operation under the conditions of the simulation analysis.)

graph compares pd versus signal noise ratio

求解计算多个自由度下的机械振动情况，并绘制位移、速度以及加速度曲线(Multi degree of freedom forced vibration equation)

求解vdp1000的程序，很实用的一个程序！及时下载吧(Solving vdp1000 procedures, a very useful program! Time to download it)

完整的跑表设计，时，分，秒都显示，希望能对大家有用，谢啦(Complete stopwatch design, hours, minutes, seconds, show, hoping to be useful for everyone,)

This book focuses on the 8052-BASIC microcontroller, which is easy to use, full featured,

steo mottor with gui matlab and port pararell

OFDM的matlab仿真程序，非常好的入门程序，对了解OFDM系统有很好地引导作用(OFDM Matlab simulation program, very good induction procedures, to understand OFDM system is a good guide)

Image Texture Classification Using Combined Grey Level Co-Occurrence Probabilities and Support Vector Machines Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM) have been proposed to do classification on the extracted features. A popular Brodatz texture album had been chosen to test out the result. In this study, a combined GLCP-GSVM shows an improvement over GLCP in terms of classification accuracy.