This effect of envelope spectrum analysis applied to fault diagnosis of equipment parts damage is verified by the example of rolling bearing fault diagnosis.
通过对滚动轴承故障诊断的实例分析，验证了包络谱分析运用于诊断设备零件损伤故障所取得的效果。
A time history is synthesized from this amplitude spectrum and a random phase spectrum, combined with an envelope function.
据此幅值谱和一个随机相位谱，并与一个时程包络函数结合，合成一个子震时程。
The reconstruction signals were demodulated with Hilbert transform, and envelope spectrum at each band was obtained.
利用希尔伯特变换解调分析各频带信号，得到对应频带信号的包络谱；
By means of Hilbert transform, the author obtains the signal envelope, and then calculates the demodulation spectrum.
首先利用希尔波特变换解调出信号包络，进而计算出解调谱；
Finally the failures are diagnosed by envelope spectrum analysis of the envelope signals.
再通过对振动包络信号进行频谱分析就可以对轴承的故障类型作出判定。
Various examples of computation for the random envelope and its statistical characteristics, especially the envelope spectrum, are involved in many applied fields.
各种随机信号的包络的计算、统计特性和包络谱的计算已屡见于各方面的研究及应用领域。
MFCC can express speech spectrum more accurately at low frequency, so MFCC is a good method to express the spectral envelope in voice conversion;
MFCC可以更加准确地表示语音低频处的频谱包络，在语音转换中是一种很好的频谱包络表示方法；
An envelope order spectrum based on multi-scale chirplet and sparse signal decomposition was proposed and applied to the fault diagnosis of gearboxes with rotating speed fluctuation.
提出了基于线调频基稀疏信号分解的包络阶次谱方法，并将其应用于变速齿轮箱故障诊断之中。
In this thesis, based on LPC analysis, a method for calculating the spectrum converted system unit impulse function is proposed. So the spectral envelope is converted efficiently.
本文基于LPC分析，提出用反傅里叶变换的方法来求解频谱搬移后的系统单位冲激响应，以此来实现频谱包络的变换，并取得了较好的效果。
In this paper, based on LPC analysis, a method for calculating the spectrum converted system unit impulse function is proposed so as to convert the spectral envelope efficiently.
本文基于LPC分析，在求解频谱搬移后的系统单位冲激响应的基础上，提出求解频谱搬移后LPC系数的方法，以此来实现频谱包络的变换，取得较好的效果。
This paper introduces an objective way to evaluate the quality of digital voice by means of LPC logarithmic inverted spectrum-envelope offset and artificial composite voice signal;
介绍了一种利用LPC对数倒频谱包络偏离量和人工合成语音信号对数字语音质量进行客观评价的方法；
This paper introduces an objective way to evaluate the quality of digital voice by means of LPC logarithmic inverted spectrum-envelope offset and artificial composite voice signal;
介绍了一种利用LPC对数倒频谱包络偏离量和人工合成语音信号对数字语音质量进行客观评价的方法；
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