Approximate joint diagonalization with well-conditioned diagonalizer for overdetermined convolutive blind audio source separation
Author:
Affiliation:
1. Tokyo University of Technology,School of Computer Science,Hachioji, Tokyo,Japan,192–0982
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10315246/10315146/10315317.pdf?arnumber=10315317
Reference12 articles.
1. A Khatri–Rao subspace approach to blind identification of mixtures of quasi-stationary sources
2. Measuring Dependence of Bin-wise Separated Signals for Permutation Alignment in Frequency-domain BSS
3. Tensorlab demos 3.0;debals,2016
4. Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation
5. Convolutive Blind Source Separation Using an Iterative Least-Squares Algorithm for Non-Orthogonal Approximate Joint Diagonalization
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