• This notion of inter-domain transformation is useful in many fields of study-for example, moving from the time domain into the frequency domain in the field of signal processing.

    这种转换概念很多领域的学习中都很有用例如信号处理领域时间移入频率域。

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  • Fourier transformation in time domain and frequency domain is one of the main methods for modern railway signal detection.

    时域分析傅氏变换分析方法现代铁路信号检测主要方法之一

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  • Time frequency analysis method is used to analyze the time domain and frequency domain of seismic waves at the same time according to the principle of wavelet transformation.

    分析方法利用小波变换原理地震波时间频率同时作出分析

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  • The model combines good time domain, frequency domain resolving ability of wavelet transformation and nonlinear learning ability of SVM.

    模型具有小波变换良好分辨能力支持向量机非线性学习能力;

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  • Period characteristics of radiated noise at high frequency is investigated by a method based on short time Fast Fourier Transformation, and propeller speed is estimated.

    短时傅立叶分析方法研究了辐射噪声频段时变化周期性,估计了目标的螺旋桨转速。

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  • From the basic conception of wavelet transformation, we discuss briefly the zooming characteristics of wavelet transformation in time-frequency domain analysis in this paper.

    从小变换基本概念出发简要介绍了小波变换信号时-频分析中的变焦特性

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  • Wavelet transformation possesses excellent properties of time-frequency localization and thus provides an effective means for analyzing signals characterized by unstable vibration.

    小波变换具有好的时域局部化特性,它非稳态振动特征信号提供了很好的分析手段

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  • The main characteristics of wavelet transform is that some character can well outstanding by transformation and it is an important way to study signal in time-frequency domain.

    小波变换主要特点通过变换能够充分突出某些方面的特征研究信号-分析的重要方法

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  • Proton NMR two dimensional time-domain data are collected based on the inversion-recovery technique. Double Fourier transformation of those data yields the two dimensional frequency-domain data.

    基于反转恢复建立质子nmr时域数据,经双重付里叶变换获得二维频域数据。

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  • Methods Time-frequency domain method was used to effectively recognize TEOAEand stimulating artifact by their different short time Fourier transformation (STFT).

    方法采用时-识别方法,根据TEOAE与刺激伪迹不同的短时谱特征有效识别两者。

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  • During the acoustic logging data process, the information of time-frequency of related spectral component can not be provided generally by means of Fourier Transformation (FT).

    声波测井资料处理过程中,傅里叶变换通常不能提供有关分量时间局域化信息

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  • During the acoustic logging data process, the information of time-frequency of related spectral component can not be provided generally by means of Fourier Transformation (FT).

    声波测井资料处理过程中,傅里叶变换通常不能提供有关分量时间局域化信息

    youdao

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