Cost function adaptivity in bussgang filtering

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Cost function adaptivity in bussgang filtering

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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.

Inspec keywords: adaptive filters; adaptive equalisers; filtering theory; blind equalisers; deconvolution

Other keywords: cost function adaptivity; bussgang filtering algorithm; flexible estimator; blind channel equalisation; deconvolution noise

Subjects: Communication channel equalisation and identification; Signal processing theory; Filtering methods in signal processing

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