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交流电机调速系列教材之一交流电机调速理论(AC Motor Speed Control Series of motor control theory textbooks)

c++实现UPnP设备发现功能，对初学者非常有用，走出第一步。实现设备发现后，控制功能的原理比较简单，工作量不大。(UPnP device discovery via c++， useful with beginners.it s the first step. After discovery,control is easy and simple.)

Model 3232a2 - accelemeter sensor

it is .rar file.it contains some source codes..

AirPrime Q26 Series Development Kit User s Guide

通过输入时间和磁矩分量，通过一维傅里叶变换求出磁谱，主要用于OOMMF软件计算结构的后期处理。(By entering the time and the magnetic moment component, obtained by one-dimensional Fourier transform magnetic spectrum, mainly used in the the OOMMF software calculated structure post-processing.)

很好 我采用得是串行方式对bp网络进行训练，为何训练时误差dsum约来越大？？望指教！(good, I have used in serial mode is the right bp network training, training errors are about to dsum greater? ? Look weekend!)

this is matlab program for study(this is matlab program)

AIC准则用于信源数估计 matlab源程序(criteria for the AIC source estimates Matlab source)

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)