Iterate

matlab code for raised cosine filter

This is the ARMA model Matlab program

MATLAB GUI设计学习手记（第二版）源程序 第6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), the recommended way to learn the source code Chapter 6 of this book: 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.)

粒子群算法 单目摄像头标定,根据图像中心的像素位置与其世界坐标系位置求解摄像头参数( Particle swarm algorithm of monocular camera calibration)

kalman滤波程序 关于信息融合方面的程序 (kalman programme about information fusion s programme)

a function to estimate affine transformation parameters

现代随机信号分析，+李在铭+李晓峰+周宁+傅志中(Random signal analysis)

自动控制原理中用频域法求解线性系统的波特图的MATLAB编程 举例(Automatic control theory using frequency-domain method for solving linear systems of the Bode plot of the MATLAB Programming Example)

Pisarenko谐波分解算法,通过matlab代码，gmcalab 快速广义的形态分量分析。( Pisarenko harmonic decomposition algorithm, By matlab code, gmcalab fast generalized form component analysis.)

说明：  矩阵LDLT分解与Cholesky分解 求矩阵A=（αij）20x20的LDLT分解与Cholesky分解(Matrix LDLT decomposition and Cholesky decomposition Matrix A = (αij) 20x20 of the LDLT decomposition and Cholesky decomposition)