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3C

于 2014-08-30 发布 文件大小:736KB
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说明:  倒立摆试验用matlab模拟,PID处理器(simulated ann)

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    有限元的程序,好用的,做毕业设计可以做参考(Finite element program, easy to use, do graduate design reference can be done)
    2013-10-07 10:06:28下载
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    Derivative-Based Optimization
    2015-02-09 22:37:17下载
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    2016-04-27 18:17:48下载
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    本程序详细描述了电磁波在水下传输的衰减模型,随着频率的增加,信号衰减愈加明显。(This procedure describes in detail the electromagnetic wave transmission attenuation model of underwater, with the increase of frequency, signal attenuation are becoming ever more obvious.)
    2017-01-03 20:25:20下载
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    2020-10-20 06:37:25下载
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  • baoluofenxi
    采用解调分析方法,从信号中提取调制信息,分析其强度和频次就可以判断研究对象(诸如机械零件)损伤的程度和部位。(Using the demodulation method, the modulation information is extracted from the signal, the strength and frequency analysis can determine the study (such as mechanical parts) and location of the degree of damage.)
    2013-09-30 04:08:32下载
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    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)
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