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.

引用

页码：3883 / 3895

页数：12

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