—Previous studies of receive diversity have carefully modeled the impact of spatial correlation and antenna coupling on the signal component at the receiver. By contrast, relativ...
Carlo P. Domizioli, Brian L. Hughes, Kevin G. Gard...
Abstract— Wireless sensor networks (WSNs) promise finegrain monitoring in a wide variety of applications, which require dense sensor nodes deployment. Due to high density of nod...
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
— The analytical end-to-end (e2e) performance of a wireless multihop network is largely unknown, because of the interconnections between several factors involved. Customarily, th...
—In ubiquitous computing, localization of users in indoor environments is a challenging issue. On the one hand, localization data needs to have fine granularity to provide reaso...
In the compression of color or multispectral imagery, intra pixel color transforms are usually employed to decorrelate planes. It is usually thought that plane decorrelation (such...
In this paper, we present a low complexity Modulo-PCM based coding algorithm for high speed video cameras used in applications that demand very high frame rates. By compressing th...