PSO

说明：  直线偏移代码，已知多边形顶点坐标，可以将多边形各边沿其法线方向平移距离然后得到新的多边形顶点。(Linear shift code, known polygon vertex coordinates, can be the edge of the polygon shift its normal direction and then get a new polygon from the vertex.)

windgenerator MATLAB MODELLING

用MATLAB实现的卡尔曼滤波，根据有用信号和干扰噪声的统计特性（自相关函数或功率谱），以线性最小均方误差（MSE），能最大程度的滤除干扰噪声，提取有用信号。(Kalman filter using MATLAB, based on the statistical properties of the useful signal and interference noise (autocorrelation function or power spectrum), linear minimum mean square error (MSE), filter out noise interference to the greatest extent, to extract the useful signal.)

A MATLAB solver for minimizing ||x||1 + p||Ax-b||2(A MATLAB solver for minimizing ||x||1+ p||Ax-b||2)

基于自然场景下的道路分割程序。 该程序实现了道路分割的必要程序步骤(Segmentation procedure based on the natural scene of road. The program to achieve the necessary procedural steps divided by the road)

介绍了规划问题建模及用Matlab实现的具体操作方法，详细解释了几种常用的求解线性规划问题和非线性规划问题的函数，如linprog，fminunc等(Planning problem modeling and specific methods of operation using Matlab detailed explanation of the function of several commonly used for solving linear programming problems and nonlinear programming problems such as linprog, fminunc)

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)

基于Matlab的巴特沃斯数字滤波器的设计(Matlab Butterworth digital filter design)

it is helpful to konw the characreristics of bpsk modulation technique

implementation of sliding mode control