Steady-State Performance of Incremental Learning.pdf (448.67 kB)
Download fileSteady-state performance of incremental learning over distributed networks for non-Gaussian data.
conference contribution
posted on 2009-12-04, 08:56 authored by Leilei Li, Yonggang Zhang, Jonathon Chambers, Ali H. SayedIn this paper, the steady-state performance of the
distributed least mean-squares (dLMS) algorithm within an
incremental network is evaluated without the restriction of
Gaussian distributed inputs. Computer simulations are presented
to verify the derived performance expressions.
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