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《MATLAB7.0控制系统应用实例》 作者：刘叔军，机械工业出版社2005 一书的配套程序，请与本网站的《MATLAB7.0控制系统应用实例》pdf版本一起使用。 (" MATLAB7.0 Application Control System" Authors: Liu Jun, Mechanical Industry Press 2005, book one of the matching procedures, please contact the website' s " MATLAB7.0 control system application" pdf version to use.)

基于matlab的pmsm的仿真模型，比较方法可以参考(Matlab-based simulation model of pmsm compare the method can refer to)

Invert er in load side

feature extraction in matlab simple intro

说明：  qQq QqQ qQ

Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.

OTSU METHOD FOR THRESHOLDING

MUSIC AND VOICE SEPARATION FOR DIFFERENT PITCH. SUBMITTED PARTIAL CODE

　OFDM —— OFDM(Orthogonal Frequency Division Multiplexing)即正交频分复用技术，实际上OFDM是MCM Multi-CarrierModulation，多载波调制的一种。其主要思想是：将信道分成若干正交子信道，将高速数据信号转换成并行的低速子数据流，调制到在每个子信道上进行传输。此程序为ofdm仿真程序！(OFDM- OFDM (Orthogonal Frequency Division Multiplexing) that is orthogonal frequency division multiplexing, OFDM is the fact MCM Multi-CarrierModulation, a multi-carrier modulation. The main idea is: The channel is divided into a number of orthogonal sub-channel, high-speed data signals into parallel low-speed sub-data stream, modulated to be transmitted in each sub-channel. This program is ofdm simulation program!)

同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。(At the same time the height and weight data as features, Fisher with linear identifying method for classifier, will this classifier applied to training and test sample, to investigate the training and test error conditions. Will the training sample and values of the decision on the graph shows the boundary, and at the same time before the Bayes method with optimal classifier also paint chart, the similarities and differences of the comparison results. )