高斌
Professional Title:Professor
Supervisor of Doctorate Candidates
Paper Publications
Title of Paper:Adaptive Sparsity Non-negative Matrix Factorization for Single Channel Source Separation
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Journal:IEEE the Journal of Selected Topics in Signal Processing
Abstract:A novel method for adaptive sparsity non-negative matrix factorization is proposed. The proposed factorization decomposes an information-bearing matrix into two-dimensional convolution of factor matrices that represent the spectral dictionary and temporal codes. We derive a variational Bayesian approach to compute the sparsity parameters for optimizing the matrix factorization. The method is demonstrated on separating audio mixtures recorded from a single channel. In addition, we have proven that the extraction of the spectral dictionary and temporal codes is significantly more efficient.
All the Authors: S.S. Dlay, W.L. Woo,Bin Gao
Correspondence Author:Bin Gao
Discipline:Engineering
Volume:5
Issue:5
Page Number:989-1001
Translation or Not:no
Date of Publication:2011-08-17
Pre One:Jun Shi, Xiaoling Zhang, Jianyu Yang, and Junjie Wu, "Radix-N resolution-fusion for LASAR via orthogonal complement decomposition," IEEE Geoscience and Remote Sensing Letters, vol. 6, no. 1, pp. 147-151, 2009.
Next One:Junjie Wu, Yushi Xu, Xuqi Zhong, Zhichao Sun, and Jianyu Yang, "A three-dimensional localization method for multistatic SAR based on numerical range-doppler algorithm and entropy minimization," Remote Sensing, vol. 9, no. 5, 2017.