Performance and implementation of invariant source separation algorithms

This paper focuses on the equivariant nature of source separation: the unknown parameter of source separation is an invertible matrix, i.e. it belongs to a multiplicative group. In this instance, inference theory calls for 'equivariant' estimation. This paper discusses some consequences of equivariance with respect to implementation and performance of source separation algorithms.