global-afsa

高斯混合模型参数估计,EM算法,sunMOG.m为函数,testMOG4.m为测试程序(Gaussian mixture model parameter estimation, EM algorithm, sunMOG.m for the function, testMOG4.m for the test procedure)

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. )

Vinay K. Ingle_ John G. Proakis-Digital Signal Processing Using MATLAB-Cengage Learning (2011)

Library program which takes the user input and gives the details of the books .

描述的是两个振动信号的合成，注意采样点数、间隔、频率、振幅、初始相位的不同而带来的变化(Described in the synthesis of the two vibration signal, alert the sampling points, the interval, frequency, amplitude, an initial phase of the type of changes brought)

利用Hausdoff距离进行模板匹配，此方法简洁快速，具有很好的鲁棒性能(Template matching using Hausdoff distance, this method is simple and quick, has good robust performance)

频谱分析，用于对等时间间距的序列进行频谱分析(spectrum analysis, for the time interval, such as the sequence spectrum analysis)

说明：  Steganograohy using LSB&DWT

This program implements camera calibration on supposed values and computes camera fundamental matrix using 8-points algorithm Developed by Maimouna Al-ammar & Hiba Al-younes May, 2009

UWB，超宽带信号分析必用的子函数，第17部分！(UWB, ultra-wideband signal analysis will be used for Functions, Part 17!)