MATLAB

文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(File contains three subfolders: dec.m, test_dec.m, recon.mdec.m using MATLAB language to prepare yourself wavelet decomposition algorithm test_dec.m using MATLAB language testing dec.m document I have written Mallat wavelet decomposition algorithm correctly recon.m use of MATLAB language to prepare yourself Mallat reconstruction algorithm function using the MATLAB language, do not call the MATLAB wavelet decomposition function, but do-it-yourself prepared Mallat wavelet algorithm with noise signal decomposition, reconstruction This is the wavelet Decomposition of the beginners, have a better understanding of the guiding role of wavelet decomposition.)

learning about less than 1000

spwm变频调速系统的研究及其仿真模型的搭建(spwm frequency control system and simulation models to build)

code for motion analysis..

说明：  matlab 6.x的使用指南，较为详细的介绍了matlab 6.x的使用及编程(matlab 6.x use guide describes in detail the use and programming matlab 6.x)

matlab算法分子中第七章的内容,其他内容陆续上载中请稍后(matlab algorithm in Chapter VII of the molecular content, and other content be uploaded later requested)

程序代码是DOA估计的一些基本程序（包括频率-波束响应与波束图和MUSIC算法程序），通俗易懂(DOA estimation code is some of the basic procedures (including frequency- response of the beam-beam map and MUSIC algorithm), user-friendly)

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

说明：  对肌电信号计算积分肌电值+均方根值+中值频率+平均功率频率(Computation of Integral EMG+RMS+Median Frequency+Average Power Frequency for EMG Signals)

汉明码，信息论与编码，74系列 的 故意结果iu(hanming just it ahya hah)