OCR

This book is a short, focused introduction to MATLAB, a comprehensive software system for mathematics and technical computing. It will be useful to bothbeginning and experienced users.

System identification with adaptive filter usinglms

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析(supervised self-organizing map- Partial Least Squares (A supervised self-org anising map- partial least squares algorithm) , terms of the multi- variable regression analysis of data)

鉴于本人去年7月份发布的《关于粗糙集和邻域粗糙集的基本理论和程序算例》其中有一些错误，可能给相关研究人员带来了误解，在此向大家道歉！ 同时在此资源中新增加了本人编写的邻域粗糙集的matlab计算程序，包括正域计算，约简计算，重要度计算，权重计算。 欢迎大家下载并交流学习！ 我所发布的两个版本的说明，以第二版本为主，第一个版本就不要下载了。 版权所有，除百度文库和中国程序员联合开发网上能下载到相关资源外，其他网站上的均为盗用。请尊重知识产权！(Given that I released last July, " the basic theory and procedures for rough sets and neighborhood rough set of examples," of which there are some errors, researchers may be brought to the relevant misunderstanding here to apologize! While a new addition to this resource I prepared matlab calculation procedures neighborhood rough set, including the positive domain calculation, reduction calculation, it is important calculation, the weight calculation. Welcome to download and share their knowledge! Two versions of the instructions I have released the second version of the main, the first version, do not download. Copyright, except Baidu library and Chinese programmers can be downloaded to the joint development of Internet-related resources, are stolen on other sites. Please respect the intellectual property rights!)

matlab实现8PSK TCM网格编码调制，包含维特比译码和与未编码的QPSK误码性能比较(matlab implementation of TCM trellis coded modulation 8PSK, including Viterbi decoding and uncoded QPSK BER performance)

MATLAB内置二重积分 可以实现二重积分等功能(MATLAB built-in double integral)

Simulation of spring mass use Simulink matlab

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》3 二值图像中的基本形态学运算,灰度图像中的基本形态学运算("Digital image processing and machine vision: Visual C++ and Matlab to achieve" 3 Binary image of the basic morphological operations, gray image of basic morphological operations)

5机14节点simulink仿真模型图，参数已给定，可用于潮流计算(Simulation model of 5 machines and 14 buses by simulink,which can be used to power flow calculation)