Cepstrum英文翻译_含义_读音_Cepstrum例句

词性释义

n.

[物] 倒频谱；同态谱

例句

全部

Cepstrum analysis of voice and image processing are widely used in nonlinear signal processing technology.

倒频谱分析是语音和图象处理中广泛应用的非线性信号处理技术。

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。

The digital signature can be extracted from the embedded voice signal by the method of cepstrum analyzing.

通过倒谱分析，能够完整地从隐写语音信号中提取出数字签名。

The order tracking technique is combined with cepstrum analysis and then the order cepstrum analysis technique is presented.

将常规的倒谱分析技术与阶次分析相结合，提出了阶次倒谱的齿轮箱故障诊断方法。

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。

The experimental results show that order cepstrum analysis can effectively diagnosis the gear faults.

实验分析结果表明该方法能有效地识别齿轮的故障类型。

The methods of process signal include a time-domain, frequency-domain, wavelet, cepstrum and calculation kinds of function feature.

信号处理的方法包括时域分析、频域分析、小波分析、倒频谱分析及多种性能指标的计算。

The result proves that the wavelet-cepstrum method has great validity in gear failure diagnosis.

结果表明小波分析与倒频谱相结合是齿轮故障检测中一种有效的诊断方法。

Combining the cepstrum method could identify the characteristic frequency availably.

结合倒频谱方法可以有效地识别故障特征频率。

Cepstrum analysis is divided into two categories of real and complex cepstrum cepstrum.

倒频谱分析法分为实倒频谱和复倒频谱两类。

Based on the related characteristics of cepstrum, gave a new method to estimate the parameter of PSF and to restore the defocused images.

因此，文中提出的散焦模糊图像复原方法，基于频域倒谱及其相关特性，进行散焦模糊图像的PSF估计。

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。

A novel digital audio blind watermark algorithm based on complex cepstrum domain is presented.

提出了一种复倒谱域数字音频盲水印算法。

the definition and properties of complex cepstrum and the dereverberation principle; several kinds of deconvolution and VAD methods.

论述了复倒谱的定义、性质，以及复倒谱域滤波混响消减原理；

In order to identify the parameters of the PSF accurately, an identification method based on cepstrum domain is presented in this paper.

为了更加准确地鉴别出点扩展函数参数，本文提出了一种在倒谱域鉴别模糊参数的方法。

A New Model for Short-Time Complex Cepstrum of Voiced Speech and Its Application to Homomorphic Deconvolution

浊音短时复倒谱的新模型及用于语音同态解卷积的研究

Cepstrum analysis based classification of passive underwater acoustic signals

基于倒谱分析的被动水声目标分类

Utilize cepstrum and diagnose the early fault of the hydraulic pump

利用倒频谱诊断液压泵早期故障

Estimation of the mean spacing of trabecular bones using autoregression cepstrum

基于自回归倒谱法估计骨小梁间距

A Speech-enhancement Approach: Based on SH Window and with Frame Pseudo-cepstrum Subtraction

基于SH窗的分帧伪倒谱相减语音增强算法

Processing Gearbox Launching Signal with Order Cepstrum Analysis

齿轮箱起动信号的倒阶次谱分析方法

Application of Cepstrum in the Roller Bearings Fault Diagnosis of Paper Machine Press Section

倒频谱在造纸机压榨轴承故障诊断中的应用

A new filtration method based on wavelet-cepstrum model and its application in ultrasonic stress detection

基于小波倒谱模型的滤波处理技术及其在超声应力检测中的应用

The Cepstrum and Its Application in Gear Box Diagnosis

倒频谱分析法及其在齿轮箱故障诊断中的应用

Research on some characteristics of speech cepstrum in various speech rate

不同语速下语音倒频谱某些特点的初步探讨

Modeling and Simulation of Extract Cepstrum Features of Speech Signal

语音信号倒谱特征提取建模与仿真

Study on Order Cepstrum Diagnostic Methods for Gearbox During Speed-up Process

齿轮箱升降速过程阶次倒谱故障诊断方法研究

Language Identification Based on Minimum Distortion of Cepstrum Distance Segmentation

基于倒谱距离窗移最小失真分割的语种辨识

Estimation Mean - scatterer Spacing of Tissues Scatterer Based on Wavelets Decomposition Cepstrum

基于子波分解计算散射子平均间距的倒谱法

Audio and image watermarking algorithms in cepstrum domain

倒谱域音频与图像水印算法

网络释义

倒频谱

倒频谱（cepstrum）：将频谱取对数后再进行傅立叶变换所得的“频谱”。条目讨论大陆简体变换不转换简体繁体大陆简体 …

倒谱

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倒谱计算

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倒谱法

1967 年，A.M .Noll 提出用倒谱法(Cepstrum)检测语音信号的基音周期。这是一个频域上的检测算法，这种方法检测基音周期 …

平滑频谱

统计学词汇C-3|统计学专业英语词汇翻译... ... 重心法 centroid method 平滑频谱 cepstrum 必然事件 certain event ...

谱对数余弦傅立叶变换

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差倒频谱参数

2.3.2 差倒频谱参数(δ- cepstrum)......21 第三章语音模型的建立与辨识方法...23 3.1 前言.........................................