论文标题
使用随机EM算法的多组分信号中的瞬时频率估计
Instantaneous Frequency Estimation In Multi-Component Signals Using Stochastic EM Algorithm
论文作者
论文摘要
本文解决了在存在任意分布式噪声的情况下估算观察到的非平稳混合信号模式的问题。引入了一种新型的贝叶斯模型，以通过诉诸于EM算法的随机版本来避免从后分布中估算出EM算法的随机版本，从而从观察到的信号的频谱估算模型参数。通过使用最新方法的比较实验评估了所提出的方法。获得的结果通过强调改进模式估计性能来验证所提出的方法。
This paper addresses the problem of estimating the modes of an observed non-stationary mixture signal in the presence of an arbitrary distributed noise. A novel Bayesian model is introduced to estimate the model parameters from the spectrogram of the observed signal, by resorting to the stochastic version of the EM algorithm to avoid the computationally expensive joint parameters estimation from the posterior distribution. The proposed method is assessed through comparative experiments with state-of-the-art methods. The obtained results validate the proposed approach by highlighting an improvement of the modes estimation performance.
