cepstrum

网络  倒频谱; 倒谱; 倒谱法; 对数倒频谱; 倒频谱分析

计算机



双语例句

  1. Fractional Cepstrum and Its Application in Machine Fault Diagnosis
    分数倒谱及其在机械故障诊断中应用研究
  2. LPC Mel Cepstrum Coefficient ( LPCMCC) which comes from LPC Cepstrum ( LPCC) changed nonlinear by Mel scale according to human auditory characteristics, thus closer to human auditory system.
    LPC美尔倒频谱系数(LPCMCC)根据人耳听觉特性将LPC倒谱系数(LPCC)用非线性美尔尺度进行变换,从而更接近人耳的听觉系统。
  3. Relationship between perceptual cepstrum distance and sound quality evaluation of audio system is studied with multitone.
    文中以多频声作为测试信号,研究电声系统中感知倒谱距离与音质评价的关系。
  4. 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LSB奇偶来恢复秘密水印。
  5. A Multi-pitch Detection Algorithm Based on Cepstrum of Linear Prediction Residual
    基于线性预测残差倒谱的多语音基音频率检测
  6. Fault Diagnosis of Gearbox by Using Transient Acoustic Signal and Order Cepstrum
    基于瞬态声与阶次倒谱的齿轮箱故障诊断
  7. An Audio Watermarking Algorithm Based on Wavelet and Cepstrum Transform
    基于小波变换和倒谱变换的音频水印技术
  8. The algorithms based on cepstrum transform are very few, and there are some problems such as some algorithm is not blind detection and robust character is insufficient and so on.
    在已发表的研讨文献中,复倒谱变换的实现还存在不是盲检测算法,鲁棒性不强等题目。
  9. Fault Diagnosis Detection of Roller Bearing Based on Cepstrum Technology
    基于倒频谱技术的滚动轴承故障诊断
  10. Bearing fault diagnosis base on EMD and cepstrum analysis
    基于EMD与倒谱分析的轴承故障诊断
  11. Research on Human Pulse Signals Recognition Algorithm Based on Cepstrum Features
    基于倒谱特征的脉象信号识别算法研究
  12. A New Cepstrum Coefficients Applied to Acoustic Target Recognition
    一种新的可应用于声目标识别的倒谱系数
  13. This paper introduces a practical method for computer to estimate the defocus blur parameter in cepstrum area.
    介绍一种倒谱分析方法,使计算机能较好地识别散焦模糊参数。
  14. A measurement of the absorption coefficient based on cepstrum analysis
    基于倒频谱分析的吸声系数测量的一种新方法
  15. NNSFC ( National Natural Science Foundation of China) has supported us to study HPS with a whole system analysis model involving cepstrum and homomorphic deconvolution.
    提出了一种基于同态解卷的脉搏系统分析模型,研究了脉搏信号同态解卷的实现方法。
  16. Audio Frequency Digital Watermark Algorithm Based on Wavelet and Complex Cepstrum Transform
    基于小波与复倒谱变换的音频数字水印算法
  17. An Audio Watermarking Algorithm with Self-Synchronization Based on Complex Cepstrum Domain
    一种基于倒谱变换的自同步音频水印算法
  18. Research of Time-Delay Estimation Algorithm for Passive Localization Based on Cepstrum Analysis
    基于倒谱分析的水声信号被动定位时延估计算法研究
  19. The algorithm deleted semblable frames of speech signals which got after LPCC algorithm and MEL cepstrum transformation.
    该方法舍弃LPCC方法,Mel倒谱方法后所得到的语音信号中类似的帧,从而有效的解决了语音的特征冗余。
  20. An Improved Speech Endpoint Detection Method based on Cepstrum Distance
    一种改进的基于倒谱特征的带噪语音端点检测方法
  21. 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。
  22. Application of Cepstrum and Homomorphic Deconvolution to Human Pulse System Analysis
    倒谱与解卷积技术在人体脉搏系统分析中的应用
  23. Fault Diagnosis of Rolling Bearing Based on Order Cepstrum Analysis and Empirical Mode Decomposition
    利用倒阶次谱和经验模态分解的轴承故障诊断
  24. Given the desired group delay, the complex Cepstrum coefficients are computed in such a way thatthedenominatorgroup delay is approximated in the WeightedLeast Square sense.
    通过使全通滤波器传递函数分母的群延迟在加权最小均方意义下近似理想的群延迟,导出复倒谱的计算公式。
  25. The features that are compensated in this thesis are energy and Mel-Frequency cepstrum coefficients.
    本文分别对语音的能量特征和美尔频率倒谱系数特征做了补偿。
  26. Power spectrum density analysis, cepstrum analysis and wavelet package technology, they are analysis methods in frequency domain.
    频域的功率谱密度分析、倒频谱分析和小波包分析。
  27. The cepstrum feature of ship-radiated noise is studied.
    研究了舰船辐射噪声的倒谱信息。
  28. The data which measured to the hydrophone and the microphone has carried on cepstrum processing with the MATLAB procedure.
    所以用MATLAB程序对水听器和传声器测量的数据进行了倒谱处理。
  29. This paper introduces two methods to get cepstrum coefficients by deconvolution: linear prediction analysis and homomorphic transformation.
    本文介绍了对语音信号实现解卷积求取倒谱系数的两种方法:线性预测分析和同态分析处理。
  30. It compares LPC parameters and MFCC parameters. MFCC cepstrum parameters are used to calculate the desired feature parameters.
    比较了LPC和MFCC参数特征,并运用了MFCC倒谱特征参数求出系统所需的特征参数。