geopdes_base-2.0.1.tar

matlab中wave文件的频率解析代码，欢迎使用(Matlab which documents the frequency wave analysis code, welcomed the use of)

OFDM技术及其MATLAB模拟，很好的资料哦，可以快速掌握matlab仿真(the study)

用于无线通信系统中提高通信质量、减小误码率的有效措施的工具(Used in wireless communication systems to improve communication quality, effective measures to reduce the error rate tool)

三维体数据成像vol3d(源于matlab central)(function [model] = vol3d(varargin) )

for UPFC placement general

计算马氏距离,datasample是基准总体，行为特征值，列为各样本值，如5x1000,testdata是要进行计算的特征向量,MD为计算出的马氏距离(Mahalanobis distance calculation, datasample benchmark overall behavior eigenvalues, as the value of each sample, such as 5x1000, testdata is necessary to calculate the feature vectors, MD for the calculated Mahalanobis distance)

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )

modified 180 voltage souce inverter similar to p.s.bimbra circuit

Listerature survey on Content based image reteival techs

对数据进行傅立叶分析，从时域转换到频域，观察信号的频谱结构，从分析信号的特点(Fourier analysis of the data, the time domain to the frequency domain, spectral structures of the observed signal, the signal characteristics the analysis)