DS_uwb_program

MATLAB编程时用到的函数参考介绍及功能描述。(Function used in the MATLAB Programming Reference introduction and functional description.)

proE文件导入matlab之五(共五)-setup_views(Import proe to matlab(ASCII-stl))

说明：  设{ ,k=0,1,2,…}为N（0，1）白序列， ， =0，1,2,…,1000 。求： ； (Let {k = 0,1,2, ...} white sequence of N (0,1) = 0,1,2, ..., 1000 Requirements: )

Image stegnography USING DCT

适用于QAM、PSK信号的相位估计算法。用于纠正光纤通信中的相位噪声(phase noise estimation)

本程序是ldpc的C语言源代码，如果有需要可以下载学习，可以学习整个通信框架(This program is ldpc the C language source code can be downloaded if there is a need to learn, you can learn the entire communication framework)

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)

server virtualization

现代通信系统matlab版源代码 常用于与matlab相关的通信系统仿真 比如滤波器等(Matlab version of modern communication systems commonly used in the source code associated with the matlab simulation of communication systems such as filters, etc.)

设计一超前校正环节，使得超调量为20 ，调节时间为1s。系统单位斜坡稳态响应误差为10 。并作出校正前后后的系统单位阶跃响应时域曲线加以比较。(Design a lead correction link, so the overshoot is 20 , adjust the time of 1s. Steady-state response of the system unit error of the slope is 10 . Made before and after correction and after the system unit step response curves are compared in time domain.)