Otsu-Threshold

一个进行C++和matlab混合编程的程序，可以实现c++调用matlab，虽是一个简单的例子但是却会让你学会VC、matlab混合编程的强大(One for C++ and matlab mixed programming procedures can be achieved c++ calling matlab, although a simple example but it makes you learn to VC, matlab powerful Hybrid Programming)

MMPAGE GUI 可以用来设置页面位置特性，用户可以在打印页利用GUI设置当前位置属性。(MMPAGE GUI can be used to set the page location of features, users can print pages using GUI settings current location attributes.)

用谐波小波对信号进行多层分解，提取信号特征量(Harmonic signal with multiple layers of wavelet decomposition, the volume of extraction of signal characteristics)

基于内容的图像识别特征提取部分——k-均值聚类分割获取形状等信息(Content-based image recognition, feature extraction part of- k-means clustering segmentation information for shape)

针对20个已知类别数据，前15个训练样本和带刺的5个样本，通过该程序可识别出待测的样本属于哪一类。(Data for the 20 known types, the first 15 training samples and barbed 5 samples can be identified by the program which type of samples tested.)

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)

programme d une simulation ofdm mimo LTE

一种好的数学优化算法，可以既快又好的求得局部最优值。(A good mathematical optimization algorithms, can be fast and achieve good local optimum value.)

本文章详细介绍了PLSR片最小二乘回归的原理，以及如何用matlab源代码实现PLSR建立回归模型，以及交叉检验，得到最优模型。(This article describes in detail the principle of least squares regression PLSR piece, and how to use matlab source code PLSR regression model, and cross-examination, the optimal model.)

七自由度动力学模型的加速度分析，加速度响应信号(Acceleration analysis of the dynamic model of the seven degrees of freedom, and acceleration response signal)