In this paper we propose a modication of the Hopeld neural networks for vector precoding, based on Lenstra, Lenstra, and Lov`asz lattice basis reduction. This precoding algorithm c...
Multithreaded programs are notoriously prone to race conditions. Prior work on dynamic race detectors includes fast but imprecise race detectors that report false alarms, as well ...
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
In this paper, a practical approach for detecting packet-based orthogonal frequency division multiplexing (OFDM) signals in the presence of phase noise is presented. An OFDM packe...
Motivated by Ajtai’s worst-case to average-case reduction for lattice problems, we study the complexity of computing short linearly independent vectors (short basis) in a lattic...