Description: 分析非平稳时变的实证分解法（EMD）的基础上产生的适应性，本征模函数（IMF）的数据，处理的数据。-analyze the non-stationary time-varying data processed by the Empirical Decomposition Method (EMD), which generates the adaptive basis, Intrinsic Mode Functions (IMF), from the data.
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Size: 374784 |
Author:Linbo |
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Description: 主要介绍linphone的代码结构介绍，并且分析的相关的关键函数，附图，有助于整体了解linephone。-Introduces the structure introduced linphone code, and analysis related to key functions, drawings, to help the overall understanding of linephone. Platform: |
Size: 916480 |
Author:笨鸟奋飞 |
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Description: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period.) Platform: |
Size: 7168 |
Author:帅红
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Description: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period, to distinguish different sounds to.) Platform: |
Size: 2048 |
Author:帅红
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Description: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，一图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period, expressed in the form of an image, and ultimately achieve the purpose of distinguishing different voices.) Platform: |
Size: 8192 |
Author:帅红
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Description: 对非平稳信号进行分段、截取，再对处理过后的短时信号做短时傅里叶变换，分析其频谱特性，并找到各个时间节点的频率特性，以便分析不同事件段内的声音特征，以图像的形式表达出，最终达到区分不同声音的目的。(The nonstationary signals are segmented, and then the interception, the short-time signal after processing the short-time Fourier transform, the analysis of the spectrum characteristics and frequency characteristics and find the different time node, in order to analyze the acoustic characteristics of different event period, in the form of images to express, to reach the purpose of distinguishing different voices.) Platform: |
Size: 1024 |
Author:帅红
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Description: 广义S变换及其逆变换，用于对非平稳信号进行时频分析，研究信号的频域特征随时间的变化情况(The generalized S transform and its inverse transform are used to analyze the time-frequency of nonstationary signals and study the change of frequency domain characteristics with time.) Platform: |
Size: 4096 |
Author:小万牌开心果 |
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Search - analyze-nonstationary-time