Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins.
IEEE Transactions on Neural Networks and Learning Systems(2020)
摘要
Blind source separation (BSS) is a typical unsupervised learning method that extracts latent components from their observations. In the meanwhile, convolutive BSS (CBSS) is particularly challenging as the observations are the mixtures of latent components as well as their delayed versions. CBSS is usually solved in frequency domain since convolutive mixtures in time domain is just instantaneous mi...
更多查看译文
关键词
Frequency-domain analysis,Tensors,Frequency estimation,Blind source separation,Matrix decomposition,Sparse matrices,Automation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络