Abstract This paper describes efforts to extend educational descriptions of learning objects to enable semantic search for suitable resources held within digital libraries and cybe...
Mark Gahegan, Ritesh Agrawal, Tawan Banchuen, Davi...
Abstract--In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to i...
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
machines raise the abstraction level of the execution environment at the cost of restricting the set of supported languages. Moreover, the ability of a language implementation to i...
Abstract-- This paper presents novel results on Perfect Reconstruction Feedback Quantizers (PRFQs), i.e., noise-shaping, predictive and sigma-delta A/D converters whose signal tran...
Milan S. Derpich, Eduardo I. Silva, Daniel E. Quev...