Most communication systems use some form of feedback, often related to channel state information. The common models used in analyses either assume perfect channel state information...
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...
Christian R. Berger, Shengli Zhou, James C. Preisi...
Abstract-- The operational characteristics of integrated circuits based on nanoscale semiconductor technology are expected to be increasingly affected by variations in the manufact...