• This paper introduces the concept of cepstrum.

    介绍了倒谱的概念。

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  • The blind audio watermarking algorithm based on cepstrum transform.

    基于倒谱变换的音频盲水印算法。

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  • Spectrum zoom technique and power cepstrum are two important aided methods in vibration signal analysis.

    频谱细化技术和功率倒频谱是振动信号分析的两种重要辅助方法。

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  • This paper proposes a robust and blind digital audio watermarking algorithm based on cepstrum transform.

    提出一种基于倒谱变换的数字音频健壮盲水印算法。

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  • When extracting, only the LSB of mean of complex cepstrum coefficients was judged to restore the watermark.

    提取时,只需要判断倒谱域均值的LS B奇偶来恢复秘密水印。

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  • In this paper, a new method using the cepstrum technique for removal of the effects of reflection is offered.

    本文根据传声通道的响应特性,提出一种用倒频谱技术消除声反射影响的方法。

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  • Speaker normalization consists of cepstrum mean normalization (CMN) and vocal tract length normalization (VTLN).

    说话人归一化包括倒谱均值归一化(CMN)和声道长度归一化(VTLN)。

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  • To use power cepstrum, the transfer function is smoothed. Effect of identifying of cylinder pressure is increased.

    结合功率倒谱技术,平滑了传递函数,提高了气缸压力的识别效果。

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  • The cepstrum envelope analysis is applied to solve the problem of the diagnosis of bearing failure to hydraulic pump.

    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。

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  • The special functions of cepstrum in testing cycle signal and side-band identification were fully proved by application.

    实践证明了,倒频谱在检测周期信号和识别边频上具有独特的功能。

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  • In the meantime, mechanisms against desynchronization attacks and cepstrum filtering are introduced to enhance robustness.

    同时,通过引入抗异步攻击的机制和倒谱滤波,增强了算法的鲁棒性。

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  • In this paper, the application of cepstrum in the roller bearings fault diagnosis of paper machine press section was discussed.

    探讨了倒频谱技术在造纸机压榨部滚动轴承故障诊断中的应用。

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  • Cepstrum analysis is introduced to order analysis in efforts to identify the periodic information hidden in the power spectrum.

    将倒频分析引入阶次分析中,以检测出功率谱中难以辨识的周期性。

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  • Moreover, the applications of this method to feature extraction of cepstrum product and spectral moment distance are described.

    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。

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  • Shifted delta cepstra have been widely used in automatic language identification, but only delta cepstrum information is employed.

    滑动差分倒谱在自动语言辨识的研究中获得了广泛的应用。

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  • Based on complex cepstrum, the vocal tract vibrations and sub-glottal voice sources of both male and female in chest region were examined.

    研究男女胸声区不同发声条件下声带振动和声门下嗓音源特性。

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  • Sample the radial and axial vibration of the blade, and carry on power cepstrum, frome a new ID saw blade slicing till to its invalidation;

    采集从新锯片开始锯切到失效整个过程中,锯片径向和轴向振动信号。

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  • With auto-power spectrum and cepstrum, this paper diagnoses the unusual noise source of the gear box, and finds an impaired gear of the box.

    本文采用自功率谱、逆频谱方法对拖拉机变速箱异常噪声源进行了诊断,找出了产生异常噪声的根源。

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  • Using power cepstrum the weaker periodic signal can be recognized, and the side frequency of modulation signal can be recognized effectively.

    倒频谱可以识别信号中较弱的周期成分,并对识别调制信号的边频县有特殊的效果。

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  • Moreover, hoarse speech signals of some typical cases are analyzed by the methods of digital signal processing, including FFT, LPC, Cepstrum.

    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。

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  • This paper proposed a robust, transparent and blind digital audio watermarking algorithm base on complex cepstrum coefficient mean comparison.

    提出一种基于复倒谱系数均值比较的数字音频健壮、透明及盲水印算法。

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  • Application of cepstrum analysis and other advanced technology to troubleshoot the reducer, the establishment of fault diagnosis expert system.

    应用倒频谱分析等先进技术对减速机进行故障诊断,建立故障诊断专家系统。

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  • The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).

    系统提取的音频信号特征为线性预测美尔倒谱系数(LPCMCC),采用动态时间规整(DTW)的识别算法。

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  • So far, many kinds of dereverberation methods have been developed, such as complex cepstrum filtering, inverse filtering, beam forming and so on.

    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。

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  • On discussing the defects of the traditional voice activity detection method based on cepstrum distance, this paper proposes an improved project.

    为提高实时通信中语音端点检测系统的性能,提出了一种基于能量和鉴别信息的端点检测算法。

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  • The first part includes zoom transform, cepstrum analysis, Hilbert transform, and the data transfer between the spectrum analyzer and the computer.

    前一部分包括细化变换、倒谱技术、希尔伯特变换和谱分析器与计算机之间的数据传输。

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  • The paper applies AR cepstrum to process the backscattered signals of pig liver in vitro, and the mean spacing of hepatic lobules has been estimated.

    对牛胫骨和人离体跟骨松质骨中的超声背散射信号采用AR倒谱法进行了分析,并估计了牛胫骨和人离体跟骨中骨小梁的平均间距。

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  • The faults of geasystem are diagnosed by spectrum and cepstrum analysis techniques. A generamethod for diagnosis of the faults of gear system is given.

    利用频谱分析与倒频谱分析技术对齿轮系统的故障进行检测与识别,给出了诊断齿轮系统故障的一般方法。

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  • The cepstrum method of speech pitch detection was analyzed carefully, and several shortcomings were pointed out when the method was realized digitally.

    对基音检测的倒谱法进行了分析,指出其在基音检测计算及其数字实现时存在不足。

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  • This paper gives a new method for digital audio watermarking which uses audio cepstrum domain and energy features to decide the location of embed frames.

    文章在分析数字音频水印同步性的基础上提出了一种结合音频倒频谱系数和以音频能量特征决定数字水印嵌入位置的数字水印方法。

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