• The zero-crossing of the wavelet transform of the normal person pulse-wave is found out as a fact that its the wavelet transform coefficients correspond strictly to its time field characteristic.

    分析正常脉搏信号的小域特征,发现脉搏信号时域特点严格对应于其小波变换的过零点

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  • Result Pulse signal of 20 healthy women and 20 pregnant women were examined by statistic analysis of the time-domain characteristic point zero-crossing position.

    结果通过20例健康人和20孕妇脉象时域特征零点位置统计及其变化快慢的计算,分析结果正好与实际相吻合。

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  • Quality square wave power supply, current zero crossing time is short, arc stability, arc without high frequency stability.

    优质方波电源电流时间电弧稳定无需高频

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  • For that, this thesis combines short-time zero-crossing rate, the short-term energy method and frame cross-correlation method to cut the voice data. A series experiments were done afterwards.

    为此本文采用短时过零短时能量结合以及相连互相关方法语音进行切割并且做一系列实验

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  • The involved parameters are short-time amplitude and energy, lst-and2nd-order zero-crossing rate, autocorrelation function and pitch period.

    所使用的参数:信号的短时幅度能量、一阶和二阶过零相关函数基音周期等。

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  • The zero-crossing of the wavelet transform of the normal personpulse-wave is found out as a fact that its wavelet transform coefficientscorrespond strictly to its time field characteristic.

    分析正常人脉搏信号域特征,发现脉搏信号的时域特点严格对应于小波变换过零点

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  • Short-time average energy, short-time average zero-crossing rate and short-time energy-zero-product are introduced.

    介绍短时平均能量法、短时平均过短时能零积法三种语音端点检测法。

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  • The time domain analysis is most simple and intuitionistic. The short-time energy, the short-time zero crossing rate and the short-time self-correlation are main analysis method in time domain.

    时域分析方法简单最直观的方法,其中我们采用短时能量、短时、短时自相关函数等方法来分析语音。

    youdao

  • The time domain analysis is most simple and intuitionistic. The short-time energy, the short-time zero crossing rate and the short-time self-correlation are main analysis method in time domain.

    时域分析方法简单最直观的方法,其中我们采用短时能量、短时、短时自相关函数等方法来分析语音。

    youdao

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