A Time–Frequency Domain Blind Source Separation Method for Underdetermined Instantaneous Mixtures

被引：1
作者：
Tianliang Peng
Yang Chen
Zengli Liu
机构：
[1] Southeast University,School of Information Science and Engineering
[2] Kunming University of Science and Technology,Faculty of Information Engineering and Automation
来源：
Circuits, Systems, and Signal Processing | 2015年 / 34卷
关键词：
Underdetermined blind source separation; Time–frequency; PARAFAC; Nonnegative tensor factorization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We propose a new method for underdetermined blind source separation based on the time–frequency domain. First, we extract the time–frequency points that are occupied by a single source, and then, we use clustering methods to estimate the mixture matrix A. Second, we use the parallel factor (PARAFAC), which is based on nonnegative tensor factorization, to synthesize the estimated source. Simulations using mixtures of audio and speech signals show that this approach yields good performance.
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页码：3883 / 3895
页数：12
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