Cost function adaptivity in bussgang filtering

Classical bussgang algorithms require hypothesising deconvolution noise level, while flexible-estimator based algorithms are endowed with learnable parameters that accumulate knowledge on source and channel characteristics. Remarkably, the adaptivity of parameters induces cost function adaptivity and makes the algorithm ´more blind´. Hence the cost function adaptivity phenomenon in bussgang filtering for blind channel equalisation has been investigated.