WirelessLocation

使用MATLAB代码作图，观察Gibbs现象，可以改变参量，观察变化规律(Mapping using the MATLAB code to observe the Gibbs phenomenon, can change the parameters to observe the changes of)

matlab 的 c++ 数学库 使用手册 matlab 的 c++ 数学库 使用手册 (matlab in c++ Math Library' s manual matlab c++ Math Library User' s Guide)

LTE-Advance信道预编码矩阵构造的matalb仿真程序，具有很好的使用价值。(LTE-Advance-channel pre-coding matrix simulation program constructed matalb has good value in use.)

比较了粒子滤波、kalman滤波和粒子滤波的性能不同，通过实例进行了仿真。( the different between UKF KF and PF basedon Matlab simulated software.give some samples about the case.)

给出了三相交流调压电路在Matlab/simulink下的仿真程序，对毕业设计有帮助。(Three-phase AC voltage regulation circuit is given in the Matlab/simulink simulation under the program, help for graduation.)

matlab 一维小波分解函数,其功能包括分解与重构 (matlab ?晃 ??????????数, 其 ?| 能 ?? ???庥胫??)

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)

多元线性回归模型的一般形式 参数估计（ OLS估计） 假设检验 预测 (The general form of the multiple linear regression model parameter estimation (OLS estimates) hypothesis testing prediction)

说明：  这是GM(1,1)灰色预测的程序，里面有检验和说明，绝对可用(This is the GM (1,1) gray prediction procedure, which has tested and description, absolutely free)

Multiple Coherehence simulate using matlab