turbo1

learning about Petri net toolbox

This function obtains the pi model of a transmission line from the ABCD constants of the line.

调试通过可以使用，可以实现模式识别领域的数据的分类及回归，代码里有很完整的注释和解释，信号处理中的旋转不变子空间法，最大似然（ML）准则和最大后验概率（MAP）准则。( Debugging can be used, You can achieve data classification and regression pattern recognition, Code, there are very complete notes and explanations Signal Processing ESPRIT method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.)

心电信号预处理 滤波 去噪 QRs波检测 P波，T波检测(Preprocessing of ECG wave detection filter denoising QRs P wave, T wave detection)

基于matlab的字母识别，基于模板匹配，因为采用区域生长法，速度可能有些慢！(Base on matlab!)

基于矢量水听器阵列的MUSIC算法，信号为窄带信号，均匀线阵(MUSIC algorithm based on vector hydrophone array, the signal is narrowband signal, uniform linear array)

information gain calculation in Matlab

K均值聚类算法，可手动输入或xls读入数据(K-means clustering algorithm, can be manually entered or XLS reading da)

本程序是对双桨双舵船舶的回转运动进行操纵性模拟(This procedure can the simulate the rotary motion of a ship with twin-screw and twin rudder)

对一个具有150组80个元素的二进制输入矢量P，采用simal.m脚本文件进行自动分类的典型应用程序，其中取r=0.75，竞争层初始节点取10个，对ART1网络进行训练(Has 150 for a group of binary input vector P 80 elements, using simal. M script file for automatic classification of typical applications, including r = 0.75, the competitive layer take 10, the initial node of ART1 network for training )