FDTDmatlab

说明：  动态监测程序，采用matlab实现，帧间差分。(Dynamic monitoring procedure)

应用牛顿法和二分法解高次方程，可以显示过程( it can solve hard questions )

说明：  基于MATLAB7的图形放大缩小移动M文件(Graphics-based Zoom MATLAB7 mobile M documents)

solving knapsack 0,1 problem with GA in matlab

FCM code source help you to execute an automatic seglentation using c++ language

仿真了OFDM_UWB系统，调制方式采用QPSK，参数设置完全符合FCC标准(Simulation of a transmitter implementing the OFDM transmission chain with QPSK modulation on each sub-carrier)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。如书名所示,本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力!(This is a reference book about MATLAB, suitable for use or are planning to use MATLAB MATLAB readers. This book can open a new path with or without the help of MATLAB documentation that comes with the reader learning MATLAB. Colloquial style of the book, the reader easy to read. Such as the title indicates, this book offers readers the tools needed to master MATLAB. As a programming language and visualization tools, MATLAB has a rich range of functions, solve engineering, scientific computing and mathematical disciplines, many of the problems. The basic purpose of this book by showing readers how to effectively use these features to help readers enhance the ability to work!)

matlab 最小二乘法 曲线拟合 excel(least squares curve fitting excel matlab)

现有的代数特征的抽取方法绝大多数采用一维的方法，即首先将图像转换为一维向量，再用主分量分析（PCA）,Fisher线性鉴别分析（LDA）,Fisherfaces式核主分量分析（KPCA）等方法抽取特征，然后用适合的分类器分类。针对一维方法维数过高，计算量大，协方差矩阵常常是奇异矩阵等不足，提出了二维的图像特征抽取方法，计算量小，协方差矩阵一般是可逆的，且识别率较高。(existing algebra feature extraction method using a majority of the peacekeepers, First images will be converted into one-dimensional vector, and then principal component analysis (PCA), Fisher Linear Discriminant Analysis (LDA), Fisherfaces audits principal component analysis (KPCA), and other selected characteristics, then use the appropriate classification for classification. Victoria against an excessive dimension method, calculation, covariance matrix is often inadequate singular matrix, a two-dimensional image feature extraction method, a small amount of covariance matrix is usually reversible, and the recognition rate higher.)