We describe a hardware and software system for digitizing the shape and color of large
fragile objects under non-laboratory conditions. Our system employs laser triangulation …

In this paper, we study a binary decentralized detection problem in which a set of sensor
nodes provides partial information about the state of nature to a fusion center. Sensor nodes …

The applications of sensor networks (SNs) are increasing since they facilitate real-time
remote information monitoring and processing. Detection of an event is one of the main …

Fault-tolerance and data fusion have been considered as two fundamental functions in
wireless sensor networks. In this paper, we propose a novel approach for distributed …

A detection problem in sensor networks is considered, where the sensor nodes are placed
on a line and receive partial information about their environment. The nodes transmit a …

In this paper, a new algorithm is developed for recovering the large disocclusion regions in
depth image based rendering (DIBR) systems on 3DTV. For the DIBR systems, undesirable …

We consider the problem of binary hypothesis testing using binary decisions from
independent and identically distributed (iid). sensors. Identical likelihood-ratio quantizers …

We consider optimal decentralized (or equivalently, quantized) detection for the Neyman–
Pearson, Bayes, Ali–Silvey distance, and mutual (Shannon) information criteria. In all cases …

The general formulas for the Neyman-Pearson type-II error exponent subject to two different
type-I error constraints, as indicated in the title of the correspondence, are established. As …

We consider distributed detection with a large number of identical binary sensors deployed
over a region where the phenomenon of interest (POI) has spatially varying signal strength …