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Markus Rupp

6 accepted papers

2015

A tensor LMS algorithm

ICASSP 2015accepted

Although the LMS algorithm is often preferred in practice due to its numerous positive implementation properties, once the parameter space to estimate becomes large, the algorithm suffers of slow learning. Many ideas have been proposed to introduce some a-priori knowledge into the algorithm to speed…

Cited by 0SourceScholar
2015

ML estimation of population size when observing multiple fill levels in slotted Aloha

ICASSP 2015accepted

An open problem in slotted Aloha protocols is to optimally estimate the number of participants as such knowledge is crucial to select the optimal frame length. First results are known in literature based on observing the slot fill levels in case of empty slots and single occupancies (singleton slots…

Cited by 0SourceScholar