QPSK

MATLAB实例详解，通过对matlab语言如何编程进行实例解析，是学习matlab的很好教程(Detailed MATLAB examples, through the matlab programming language for examples of how to resolve, are studying a very good tutorial matlab)

Finite element programming with Matlab

this is the simulation of induction motor

在MIT的meep中，用来计算银表面的折射率和吸收率。用于FDTD算法。(Meep at MIT, the silver surface used to calculate the refractive index and absorption rate. For the FDTD algorithm.)

信号的二阶累积量估计,cum2函数为互二阶累积量估计，cum2est函数为单个向量的二阶累积量估计(The second order the cumulative estimated cum2 function for mutual order cumulants estimated cum2est function as a single vector order cumulant estimation)

Some very interesting C introduction questions, created by me.

电力系统的matlab/simulink仿真与应用(the application and simulation of power systerm in matlab/simulink)

摘 要：本论文主要研究了语音识别的基本原理,对语音识别系统的构成进行分析处理,其中包括预处理、特征参数提取、建立模块库、识别匹配几大部分。预处理又包括语音采样、预加重、加窗（汉明窗）、端点检测；特征提取的参数是梅尔频率倒谱系数MFCC。 该语音系统采用的是动态时间伸缩算法(DTW)，研究对象是特定人的语音识别，并在MATLAB平台上实现。为了进行后续研究，首先使用电脑中的录音系统录制了阿拉伯数字0—9的语音文件，并转化成 “.wav”格式的文件。(Abstract: This thesis mainly studied the basic principle of speech recognition, to analyze the composition of the speech recognition system, including the preprocessing, feature extraction, to set up the module library, identify several most matches. Pretreatment, including speech sampling, pre-emphasis, add window (hamming window), endpoint detection Feature extraction of MFCC MEL frequency cepstrum coefficient. The voice system USES a dynamic time scale (DTW) algorithm, the research object is the speaker-dependent speech recognition, and realized in MATLAB platform.To carry out the follow-up study, the first to use the recording in a computer system to record the audio files of Arabic Numbers 0-9, and translated into . Wav format file.)

This code is to find histogram of wind speed

说明：  经典的SIFT算法，第一步，选择感兴趣的点；第二步，对感兴趣点进行筛选，确定关键点；第三步，为关键点分配方向；第四步，用多维向量的形式描述关键点(Classical SIFT algorithm, the first step, select the point of interest second step, points of interest were screened to identify key points the third step, the key point for the distribution of direction The fourth step is described with the key in the form of multi-dimensional vector point)