fuhecailiao-cengheban

ekf continuous-discret

matlab code for hand geusture recognization

On Adaptive Energy-Efficient Transmission in WSNs

MATLAB GUI设计学习手记（第二版）源程序 第3章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition) source Chapter 3 the learning methods recommended in this book: 1) If you are a MATLAB beginners, and have plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

neural learn fuzzy PD

fdtd 1d photonic crystal Band diagram

Lighting Color Filter Test extends Test Case Source Code for Andriod.

An example to understand sampling of continous wave and fft

无线传感器网络RSSI定位算法的研究与应用,提出了理论上的改进算法，并且有MATLAB实现，另外有硬件实现，具体是在MICA2上，基于tinyos操作系统，根据测得的RSSI值算出距离(RSSI location algorithm for wireless sensor networks for research and application, Tichu a theoretical 改进 algorithms and You MATLAB implementation, there are other hardware Shi Xian, Juti yes Zai MICA2 Shang, tinyos-based operating system, according to the measured RSSI Zhi calculated Juli)

说明：  根据已知的地铁客流量预测未来年的地铁客流量，得出趋势图(Subway Traffic Prediction based on known future years, the subway traffic, draw trends)