basic-of-wavelet

通过多尺度小波变换获取图像边缘的软件包，可以用来分割图像(Through a multi-scale wavelet transform to obtain the image edge of the package)

field distrubution for non uniform optical medium

functions that write and read files of universal file format uff

上海交大硕士毕业论文《基于最小熵谱估计的 高频重建算法研究》：本论文提出了一种基于最小熵谱估计的高频重建算法（论文中简称为（MEHFR），该算法利用最小熵准则对信号谱进行外推，从而重建出音频信号的高频分量，论文同时对提出的MEHFR算法作了改进和性能分析，并给出了MEHFR成功应用于目前主流音频编解码器——MP3的一个实例(This thesis puts forward an algorithm of high frequency reconstruction based on minimum entropy spectral estimation (called MEHFR in this thesis). MEHFR spreads the spectrum in the principle of minimum entropy and reconstructs the high frequency of audio signals also this thesis improves MEHFR and shows the analyses of performance at last applies MEHFR to ME3 which is the most popular codec of audio.)

线性时不变离散时间系统在时域中可以通过常系数线性差分方程来描述，冲击响应序列可以刻画其时域特性。本实验通过使用MATLAB函数研究离散时间系统的时域特性，以加深对离散时间系统的差分方程、冲激响应和系统的线性和时不变特性的理解。(The linear time-invariant discrete-time system can be described in the time domain by a linear difference equation with constant coefficients. The impulse response sequence can describe its time-domain characteristics. This experiment uses MATLAB functions to study the time domain characteristics of discrete-time systems to deepen the understanding of differential equations, impulse response, and linear and time-invariant characteristics of the system.)

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.)

说明：  例题全部代码. 薛定宇, 陈阳泉. 高等应用数学问题的Matlab求解.(All the code examples. Xue Dingyu, Chen Yangquan. MATLAB to solve higher applied mathematical problems.)

魔方还原程序,主函数为Cube,采用CFOP，还原步骤为88步左右，底面十字未优化；采用留个3*3矩阵，前面为froo（数字3），后面为baa（数字-3），左面为leff（数字-2），右面为rigg（数字2），上面为upp（数字0），下面为doo（数字1），(Cube restore process, the main function of Cube, using CFOP, the reduction step is 88 steps or so, the bottom cross unoptimized adopt leave a 3* 3 matrix, in front of froo (figure 3), followed by the baa (figure-3), left the leff (digital-2), the right of rigg (figure 2), at the upp (number 0), following the doo (figure 1),)

第二种孤岛运行的控制是采用下垂控制（droop控制），Droop控制就是用来模拟频率一次调整。通过控制电力电子逆变器来实现。(The second kind of island operation control is droop control, Droop control is used to simulate a frequency adjustment. It is realized by controlling the power electronic inverters.)

说明：  另外一种旋转式永磁同步电动机空间矢量PWM控制算法，可以作为比较参考。(Another permanent magnet synchronous motor rotating space vector PWM control algorithm can be used as comparison reference.)