Scale-certainty geometrically constrained independent vector analysis for determined blind source separation

Output scale ambiguity is a long-standing problem in blind source separation (BSS). Post-process is usu-ally required to rescale the estimated results. Towards avoiding the computation load brought by rescal-ing post-process, this study proposes a new algorithm called scale-certainty geometrically constrained auxiliary function-based independent vector analysis (SCGC-AuxIVA), which is free of the scale ambiguity problem. SCGC-AuxIVA is derived from GC-AuxIVA by imposing unit response in the target direction as a hard constraint. Experimental results show that SCGC-AuxIVA achieves a comparable separation perfor-mance as GC-AuxIVA, while requiring a less computational cost. (c) 2023 Elsevier Ltd. All rights reserved.

Automated summary

This study introduces a new algorithm called SCGC-AuxIVA, which solves the problem of output scale ambiguity in blind source separation. It achieves comparable separation performance to existing methods while requiring less computational cost.