Minkowski

对Mathematica的快速入门进行了详细的介绍。(Mathematica' s quick start on a detailed description.)

一般统计数据中有很多变量，采用组成分分析法，可以既有效抓住有效信息，又实现降维。本程序采用实例，来说明此方法。(General statistics, there are many variables, sub-components analysis, can only effectively capture useful information, but also to achieve dimensionality reduction. The program uses examples to illustrate this method. )

字节数组的详解实例 适合初学的，代码简单易懂，(Detailed examples of the byte array)

语音识别是近年来发展非常迅速的一项计算机智能技术，广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗，滤除低频干扰，提升对语音识别有用的部分，消除了部分噪音和失真。预处理之后进行信号的特征提取，主要选取了短时平均过零率和MFCC两个特征参数，应用matlab软件绘制波形图并提取特征参数矩阵，为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)

等几何分析matlab程序,可供学习等几何分析利用程序完成一些结果 (geopdes_base about isogeometric analysis)

这是一个简单易理解的在MATLAB环境下编写的字符识别程序，希望能为您提供参考。(This is a simple and easy to understand written character recognition program in the MATLAB environment, hoping to provide a reference for you.)

在量子智能算法中，针对Grover算法的程序仿真，希望对大家有所帮助(The simulation of the Grover algorithm in the quantum intelligence algorithm.)

uvm验证方法学入门。step by step，适合IC验证人员入门(uvm verification methodology started. step by step, for IC verification personnel entry)

m-psk modulation and de modulation

BP NN and PCA for better image segmentation