the-Null-Preprocessing-Algorithm

使用Matlab语言完成《数值计算方法》中的Romberg（龙贝格）积分公式，程序可以根据用户输入的积分上下限、误差容限及表达式实现Romberg积分。(Using Matlab language to complete " numerical methods" in the Romberg (Romberg) integral formula, the program based on user input limits of integration, error tolerance and expression implementations Romberg integration.)

本实验语音库为免费的柏林情感语音库，其采样频率为16KHZ，16bit量化。该语音库共有500 句情感语音信号，分别由十名专业演员(5 男，5 女)在不同情感状态下（高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨）朗读十句不同文本的德语组成。本实验选取其中的部分情感（高兴、愤怒、悲伤）加以识别。仿真实验环境为MATLAB7.0。 实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响，本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理，并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。 该实验使用了传统的KNN算法和改进算法两种识别方式，通过实验结果对比了各自的特点。 (This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0. The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)

说明：  la commande dtc de la gsap

MATLAB潮流计算(MATLAB flow calculation)

用matlab编写的车牌识别程序，已经调试过了(Written by matlab license plate recognition program, has been the commissioning)

基于灰度图像的目标物的提取、边缘检测、迭代收缩(Extract target grayscale images based on edge detection, iterative shrinkage)

matlab simulink about a theory jame machin

本代码采用python语言编写的的一个LSTM时间序列来预测销量(This code uses a LSTM time series written in Python language to predict sales)

Matlab编写的加窗傅里叶变换及原理。。。(Written in Matlab and principles of windowed Fourier transform)

建立了超临界二氧化碳布雷顿循环的特定工况下的循环代码(A cyclic code for a supercritical carbon dioxide Brayton cycle under specific conditions has been established.)