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METHOD FOR CEPSTRAL IDENTIFICATION OF SIGNALS

机译:信号的倒谱识别方法

摘要

The invention relates to means for automated cepstral identification, selection and identification of sources of language hydro-acoustic, bio-medical signals; signals of seismic origin, ultrasonic signals. Method forc identification of signals is in fact that one performs low-frequency filtration of signal in band of frequencies of analysis, signal is separated to segments of analysis with same duration agreed with interval of correlation of signal, one forms on each segment of analysis values of discrete time counts of signal through use of standard analog-digital transformation with discretization frequency by time agreed with band of frequencies of spectrum analysis, by quantization pitch, by level agreed with dynamical range of amplitudes, on each segment of analysis one forms discrete counts of current spectral density of power of signal through use of standard discrete Fourier transform, one performs standard logarithmic transformation of valus of current spectral density of power of signal by all the segments of analysis, with formation at each segment of analysis of discrete counts of current cepstrum of signal, through use of standard back Fourier transform ion segments one separates module values of discrete counts of current cepstrums of signal by segments of analysis. For each frequency of cepstrum of signal one forms variation series by segments of highlighted values of cepstrums, for each variation row of values of counts one highlights fractiles, with formation of relation of fractiles chosen on discrete values of frequency of cepstrum of signal, after that one compares dependences of fractiles obtained on discrete values of cepstrum of signal by Kolmogorovs criterion of coordination with respective dependences of fractiles on that very values of frequencies of cepstrums of standard realizationf of cepstrums of data base. The invention provides increase of effectiveness of systems of cepstral identification of language, hydro-acoustic, bio-medical, seismic, ultrasonic signals.
机译:本发明涉及用于自动倒谱识别,选择和识别语言水声生物医学信号源的装置。地震起源的信号,超声波信号。信号识别的方法实际上是在分析频带内对信号进行低频滤波,将信号以与信号的相关间隔一致的相同的持续时间分离成分析段,在分析值的每一段上形成一种通过使用标准的模数转换对信号的离散时间计数,离散频率由与频谱分析频带一致的时间,量化音高,与振幅的动态范围一致的电平组成,在分析的每个部分上形成离散计​​数通过使用标准离散傅立叶变换对信号功率的当前频谱密度进行分析,可以对所有分析部分进行信号功率的当前频谱密度值的标准对数变换,并在分析电流的离散部分的每一部分形成通过使用标准反向傅立叶变换离子段将信号倒谱分离按分析片段对信号的当前倒谱的离散计数的模块值进行评估。对于信号倒谱的每个频率,由倒频谱的突出显示值的分段形成变化序列,对于计数值的每个变化行,一个高亮裂变,并根据信号的倒谱频率的离散值选择分形的关系,之后一个比较了通过Kolmogorovs协调准则获得的分数对信号倒谱的离散值的依赖关系,以及对分数倒数的依赖关系,即对数据库倒谱的标准实现f的倒谱频率值的依赖。本发明提高了对语言,水声,生物医学,地震,超声信号的倒谱识别系统的有效性。

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