Fir_filter

GUI制作中文资料，以中文的形式介绍如何在matlab中实现创建GUI 界面(Chinese GUI production information to the Chinese in the form of matlab on how to create a GUI interface to achieve)

说明：  使用二次样条小波的多尺度小波分解及重构算法，为非抽样小波(wavelet transform using quadratic spline wavelet filters)

动态随机一般均衡 模型的贝叶斯估计程序，以及使用说明(Dynamic stochastic general equilibrium model of Bayesian estimation procedures)

THESE ARE SOME IMPORTANT BASE PAPERS OF POWER ELECTRONICS

一种带极值扰动的简化粒子群优化算法。算法思想来自中国人，本人自己编的程序(A disturbance with extreme simplification of particle swarm optimization. Algorithm ideas come from the Chinese, I own series of programs)

利用python实现基于用户的协同过滤推荐，采用pearson相关系数计算相似度，加权平均预测分数(Users use python-based collaborative filtering recommendation, pearson correlation coefficient is calculated using the similarity, the weighted average prediction scores)

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.)

KSVDBox - Implementation of the K-SVD and K-SVD denoise algorithms.(K-SVD dictionary training. ksvd - K-SVD dictionary training. Signal denoising. ompdenoise - OMP denoising. ompdenoise1 - OMP denoising of 1-D signals. ompdenoise2 - OMP denoising of 2-D signals. ompdenoise3 - OMP denoising of 3-D signals. ksvddenoise - K-SVD denoising. Overcomplete DCT dictionary. odctdict - Overcomplete DCT dictionary. odct2dict - 2-D overcomplete DCT dictionary. odct3dict - 3-D overcomplete DCT dictionary. odctndict - Multi-dimensional overcomplete DCT dictionary. Demonstrations. ksvddemo - K-SVD training demonstration. ksvddenoisedemo- K-SVD denoising demonstration. Miscellaneous. showdict - Display a dictionary of image patches. ksvdver - K-SVD toolbox version information.)

图像处理方面，可以实现在两车交汇时对车辆的准确定位与跟踪。是MATLAB与卡尔曼滤波的结合(In image processing, it can realize the accurate location and tracking of the vehicle at the intersection of the two vehicles, which is the combination of MATLAB and Calman filter.)

序贯重要性采样，可用于机器学习和各类滤波算法(sequential importance sampling, whitch can be used for machine learning and variants of filtering algorithms)