Source Separation and Clustering of Phase-Locked Subspaces: Derivations and Proofs
Miguel Almeida, Jan-Hendrik Schleimer, Jos\'e Bioucas-Dias and, Ricardo Vig\'ario

TL;DR
This paper provides detailed derivations and proofs for methods related to source separation and clustering of phase-locked subspaces, complementing a prior publication with theoretical rigor.
Contribution
It offers rigorous mathematical proofs for the algorithms and results previously presented without proof in the conference paper.
Findings
Formal proofs of source separation algorithms
Validation of clustering methods for phase-locked subspaces
Theoretical foundations for phase-locking analysis
Abstract
Due to space limitations, our submission "Source Separation and Clustering of Phase-Locked Subspaces", accepted for publication on the IEEE Transactions on Neural Networks in 2011, presented some results without proof. Those proofs are provided in this paper.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAcoustic Wave Resonator Technologies · Acoustic Wave Phenomena Research · Speech and Audio Processing
