该方法是基于复倒谱和平稳最小相位序列之间的关系提出的。
Usingthecomplex Cepstrum coefficients, theall-pass denominator coefficientsare obtained based on the relation betweenthecomplex Cepstrum and the stable minimum-phase sequence.
本文根据复倒谱原理提出一种新算法，并给出数值计算例，具体说明这种方法的优越性。
In this paper, we propose an algorithm based on the theory of the complex cepstrum and numerical examples are used to illustrate the advantages of this method.
目前国内外声混响消减方法很多，如复倒谱法、逆滤波法、波束形成等。
So far, many kinds of dereverberation methods have been developed, such as complex cepstrum filtering, inverse filtering, beam forming and so on.
利用倒谱包络方法解决液压泵轴承故障特征提取和故障诊断的问题。
The cepstrum envelope analysis is applied to solve the problem of the diagnosis of bearing failure to hydraulic pump.
在概率模型中，给出了引入倒谱预测值的动态相关性来进行特征补偿的方法。
The paper introduces a new feature compensation method which will induct the relativity of the prediction of spectrum based probability model in detail.
此外，本文应用这种方法提取语声倒谱的积谱、谱矩距离等语音时变特征，并加以伪彩色编码显示。
Moreover, the applications of this method to feature extraction of cepstrum product and spectral moment distance are described.
此外，一些典型情况的嘶哑语音信号被数字信号处理方法分析，这些方法包括FFT、LPC、倒谱技术、伪彩色编码等。
Moreover, hoarse speech signals of some typical cases are analyzed by the methods of digital signal processing, including FFT, LPC, Cepstrum.
为解决信号处理中非因果自回归（AR）系统的自适应辨识问题，本文提出了一种利用倒谱进行AR系统辨识的新方法。
A new cepstrum based noncausal autoregressive (AR) system identification method is proposed to solve the problem of adaptive identification of noncausal AR system.
主要讨论了一种使用语音频谱动态特性的倒谱距离测量对通信系统或通信设备进行客观音质评价方法。
This paper studies briefly a distance measure for objective quality evaluation of speech communication channels using instantaneous and dynamic spectral features.
实验结果表明：这种加权倒谱距离度量结果优于LPC倒谱距离及其它度量方法。
The experimental results show that the weighted cepstral distance measure works substantially better than LPC cepstral distance measure and other measures.
结果表明，双谱和倒双谱分析方法对识别齿轮故障是可行的、有效的。
Experimental results showed that bispectrum and bicepstrum were feasible and effective for gear fault diagnosis.
结果表明，双谱和倒双谱分析方法对识别齿轮故障是可行的、有效的。
Experimental results showed that bispectrum and bicepstrum were feasible and effective for gear fault diagnosis.
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