Estimating a random field in sensor networks using quantized spatially correlated data. Abstract: We consider a fusion sensor-network architecture where sensor ...

We assume that the sensor observations follow a linear-regression model with known spatial covariances between any two locations within a region of interest. We ...

Decentralized Random-Field Estimation for Sensor Networks Using Quantized Spatially Correlated Data and Fusion-Center Feedback. Decentralized Random-Field ...

We develop a novel approach for estimation and inference of spatial field defined over a two-dimensional space under quantized and imperfect channels ...

Qiu, “Estimating a random field in sensor networks using quantized spatially correlated data,” to appear in Proc. 42nd Asilomar Conf. Signals, Syst. Comput ...

This paper proposes a family of distributed pre-coding schemes based on the Karhunen-Loève (KL) and partial KL transforms and derives closed form ...

Qiu, “Estimating a random field in sensor net- works using quantized spatially correlated data and fusion-center feed- back,” in Proc. 42nd Asilomar Conf ...

Dec 1, 2008 · Dogandzic, A. "Decentralized Random-Field Estimation for Sensor Networks Using Quantized Spatially Correlated Data and Fusion-Center Feedback".

May 1, 2015 · We first formulate the problem of spatial field reconstruction, exceedance level estimation and classification in such heterogeneous networks.

This work considers spatial physical phenomena which are partially observed by a wireless sensor network and derives the Posterior Cramér Rao Lower Bound ...