论文标题
在嘈杂环境中检测有用信号的信息标准的比较
Comparison of information criteria for detection of useful signal in noisy environment
论文作者
论文摘要
本文考虑了在信号/噪声混合物中有用的声信号的外观指示问题。在解决此问题的背景下，研究了各种信息特征（信息熵，詹森·香农差异，光谱信息差异和统计复杂性）。时间域和频域都研究了信息熵计算。与其他信息指标相比，统计复杂性的有效性显示为不同级别的白噪声。另外，在一维光谱分布的情况下，使用熵变化获得了复杂性和不平衡的分析公式。对于不同类型的声学信号和噪声水平，尤其是在不可能进行其他噪声特征估计的情况下，显示了所提出的方法的有效性。
This paper considers the problem of appearance indication of useful acoustic signal in the signal/noise mixture. Various information characteristics (information entropy, Jensen-Shannon divergence, spectral information divergence and statistical complexity) are investigated in the context of solving this problem. Both time and frequency domain are studied for information entropy calculation. The effectiveness of statistical complexity is shown in comparison with other information metrics for different levels of added white noise. In addition analytical formulas for complexity and disequilibrium are obtained using entropy variation in the cases of one- and two-dimensional spectral distributions. The effectiveness of the proposed approach is shown for different types of acoustic signals and noise level especially when additional noise characteristics estimation is impossible.
