Estimating equations for source separation

This paper proposes a unifying view of source separation via the concepts of 'estimating function' and 'estimating equation'. We exhibit the estimating functions corresponding to various known techniques like ICA, JADE, infomax, maximum likelihood, cumulant matching, etc... We also show how equivariant batch and adaptive algorithms stem from each particular estimating function and discuss their stability and asymptotic performance.