PSO

histogram based code for image retrival

MATLAB学习类书籍，使用MATLAB进行信号处理的教程，(MATLAB learning books, signal processing tutorial)

求解整数规划的问题可以解决一般的整数规划模型的解而且效率比较高！在matlab下调试通过(Solving integer programming problems can be solved in the general solution of integer programming model and more efficient! Adopted under the debugger in matlab)

Final file. Horray! Please gogo

光学传输中的Airy beam,这种由于具有独特的空间特性将广泛的应用于信号传输系统之中(Airy beam)

enjoy with this script of Ovsf in Matlab

说明：  TDFD,双脊金属加载矩形波导，的基模和第一个高阶模的色散曲线计算,TM模的仿真(TDFD,双脊metal loaded rectangular waveguide, the fundamental mode and first higher order mode dispersion curve calculation, TM-mode simulation)

This project has proposed an alternate novel method of finger vein and finger texture recognition system .This system has taken more advantage than the existing system in term of security purpose since the vein pattern is not visible to human vision without any special device, it will not produce any trace in any object. We examined a complete and fully automated approach for the identification of low-resolution finger surface / texture images for the performance improvement

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)

pwm Igbt model in matlab simulink