Microsoft Word - 47.doc 关键词 ：贝叶斯方法；频谱估计；相位差 [gap=361]Key words: Bayesian method; spectrum estimation; phase difference
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Aiming at high computational complexity in Voice Activity Detection(VAD) which uses low variance spectral estimation, this paper proposes a method using noise cepstrum thresholding spectral estimation to compute noise Power Spectral Density(PSD).
针对低方差频谱估计的语音活动检测(VAD)中Welch频谱估计方法计算量大的问题，提出利用倒谱阈值方法估计VAD中的噪声功率谱。
参考来源 - 基于噪声倒谱阈值频谱估计的语音活动检测·2,447,543篇论文数据，部分数据来源于NoteExpress
所得结论对提高信号质量和频谱估计精度有重要价值。
This conclusion is important for improving the quality of signals and the accuracy of spectrum estimation.
首先进行了贝叶斯频谱估计方法在电缆故障检测应用中的研究。
The two parts use the same analysis method—Bayesian Spectrum Analysis.
基于噪声（正交）子空间的频谱估计方法则具有很高的谱分辨率。
Methods based on signal-subspace, such as linear prediction, ME, etc possess better statistical stability;
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