85375534kalmanmatalab

说明：  里面什么都有大家可以自己查看，里面说的都很详细，可以借鉴一下，请注明版权。(Has everything you can own view, which says very detailed, you can learn about, please indicate the copyright.)

model predictive controller

MATLAB GUI设计学习手记（第二版）源程序 第1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 1 book recommended learning methods: 1) If you are a MATLAB beginners, and there is 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.)

经验模态分解，matlab实现，用于信号的降噪处理，提取特征值处理等经验模态分解，这是用汉语注释的EMD程序，很不错的。％ 语法 ％ IMF = EMD(X) ％ IMF = EMD(X,..., Option_name ,Option_value,...) ％ IMF = EMD(X,OPTS) ％ [IMF,ORT,NB_ITERATIONS] = EMD(...) (This is annotated in Chinese EMD procedures, very good. Syntax IMF = EMD (X) IMF = EMD (X ,..., Option_name, Option_value ,...) IMF = EMD (X, OPTS) [IMF, ORT, NB_ITERATIONS] = EMD (.. .(Empirical mode decomposition, matlab, used in signal noise reduction processing, extraction of characteristic value processing, etc)

source code to extract HOG feature. HOG feature is a kind of feature in computer vision.

用于计算图像纹理特征的灰度共现矩阵。可计算水平，竖直，45，135度方向的共现矩阵。(Used to calculate the image texture gray co-occurrence matrix. Calculate the horizontal, vertical, 45,135 degrees direction co-occurrence matrices.)

optimized-design-of-FIR-filters in pam

matlab做的svpwm仿真的，大家可以看看(do svpwm matlab simulation, we can see)

一篇基于Matlab到OFDM研究开发的论文，有需要的朋友可以下载看看(An OFDM-based research and development of Matlab to the papers, a friend in need can be downloaded to see)

windfarm turbine model