mov2im

evaluates the spherical harmonic function

lfm线性信号的函数实现功能，用于chirp信号的处理(lfm linear function of the signal to achieve functional for chirp signal processing)

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)

实现DV-Hop定位算法的仿真,自动生成一定节点数的随即分布图，给出仿真结果的各点定位误差，用曲线图形显示，并可以计算平均误差。(DV-Hop simulation. Produce a randomly distributed nodes and then simulate and give the location error of each node, showing it in figure, and calculate the average error. )

利用matlab实现的无线传感器网络分布的Pd和Pfa的关系图，无线传感器网络分布直接影响最后的融合结果，通过分析获得Pd和Pfa的关系可以对理解有帮助。(The use of matlab wireless sensor networks to achieve the distribution of the relationship between the Pd and Pfa map the distribution of wireless sensor networks a direct impact on the final integration of the results obtained by analyzing the relationship between the Pd and Pfa can be helpful in understanding.)

face detetion in matlab

可以求解焓，熵，比容，IFC-97 可以求解焓，熵，比容，IFC-97 可以求解焓，熵，比容，IFC-97 可以求解焓，熵，比容，IFC-97(Can solve the enthalpy, entropy, specific volume, IFC-97)

《Matlab/Simulink通信系统建模与仿真实例分析》一书配套光盘，包含全部m文件、simulink模块等 (" Matlab/Simulink modeling and simulation of communication systems case study," a book companion CD contains all the m file, simulink module)

analogue model of full bridge rectifer, for high validating pfc

此函数介绍了非线性函数在MATLAB理是通过什么函数进行拟合的(This function describes the nonlinear function in the MATLAB function through what management is fitting)