Speech-Enhance

非线性系统时间序列分析混沌吸引子重新构建的matlab源代码(Nonlinear time series analysis of chaotic attractor reconstructed source code matlab)

Hespanha的混杂系统控制模拟仿真教程(Simulation of hybrid systems (Hespanha))

bhattacharya cofficient is used to in canny edge detector

cross section for erbium dopped fiber amplifier

matlab有关的编码规则理论。语法，编程技巧(matlab related to the encoding rules theory. Syntax, programming techniques)

用matlab程序编写，附带源码以及说明书，用于GPS定位技术方面整周模糊度固定的计算小工具(Using matlab programming, with source code and instructions, GPS positioning technology integer ambiguity fixed for computing gadgets)

递归算法 [1 1 1 1 1 0 1 0 0 0 1 0 0 0 0 1 1 0 0 0 1 1 1 0 0 1 1 1 1 0] t=[0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1] 给权值赋初值 w1=eye(5,10) w2=eye(10,5) wr=eye(10,10)/3 wobias=eye(6,5)/4 wbias=eye(6,10)/3 x=ones(6,10)/3 ww2=zeros(10,5)/6 ww1=zeros(5,10)/6 wwr=zeros(10,10)/6 wwobias=zeros(6,5)/5 wwbias=zeros(6,10)/4 g=[1 1 1 1 1] f=[1 1 1 1 1 1 1 1 1 1] (Recursive algorithm)

说明：  EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

收集的一些CCP协议汽车标定相关的资料，希望能对从事这方面开发的朋友有些须帮助(Collection of some of the CCP protocol auto calibration of the relevant information, hoping to develop in this field to help some friends)

这是一份MATLAB基础课件，由于我也是初学者，这部课件讲的很浅显，但比较适合初学者对MATLAB所有功能的一个初步了解内容包括涵数值数组及其运算， M文件和面向对象编成， 字符串数组， 符号变量， matlab 绘图 及 Simulnk动态仿真。以及两个基本浅显的程序题。此为第 2章。(This is a basic MATLAB courseware, because I am also a beginner, this software is very simple-speaking, but more suitable for beginners of all the features of MATLAB, a preliminary understanding of the content including the Han and its numerical array computing, M documents and for object into string array, variable symbols, matlab graphics and dynamic simulation Simulnk. As well as the two basic procedures for simple questions.)