Gseidel

matlab语音信号处理 语音信号采集，然后设计FFR和IIR进行低通滤波，效果比较。，/。。(matlab .,////////////////////////////////)

tornado migraton guide 2.2.pdftornado migraton guide 2.2.pdftornado migraton guide 2.2.pdftornado migraton guide 2.2.pdf(tornado migraton guide 2.2.pdf)

《matlab实例》中有关辅助小波分析有应用的算例源码(" Matlab examples" in the secondary application of wavelet analysis is an example source)

用MATLAB M文件产生4096点的正弦数据(MATLAB M-file to produce a 4096-point sine data)

离散小波变换，包括各层分解，消除了边界效应等问题(DWT，including every layer)

载入测试数据wine,其中包含的数据为classnumber = 3,wine:178*13的矩阵,wine_labes:178*1的列向量(Now the test data wine, wherein the data contained in the classnumber = 3 wine: 178* 13, the matrix wine_labes: 178* 1 of the column vector)

计算星载AIS系统包含2~3个冲突信号的检测概率。(Computing detection probability of two to three conflict signal for space-based AIS.)

In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar -xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. (In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: Nando de Freitas, Mahesan Niranjan and Andrew Gee Nonlinear State Space Estimation with Neural Networks and the EM algorithm After downloading the file, type "tar-xf EMdemo.tar" to uncompress it. This creates the directory EMdemo containing the required m files. Go to this directory, load matlab5 and type "EMtremor". The figures will then show you the simulation results, including ROC curves, likelihood plots, decision boundaries with error bars, etc. WARNING: Do make sure that you monitor the log-likelihood and check that it is increasing. Due to numerical errors, it might show glitches for some data sets. )

descripteur sift 3D

Neighborhood rough set based feature evaluation and reduction