1.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。
2.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。
3.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。
4.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。
5.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。
6.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。
7.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。
8.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。
9.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。
10.Cepstrum analysis is pided 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。