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eess.SP2022
Binary Spatial Random Field Reconstruction from Non-Gaussian Inhomogeneous Time-series Observations
Shunan Sheng, Qikun Xiang, Ido Nevat +1
We develop a new model for spatial random field reconstruction of a binary-valued spatial phenomenon. In our model, sensors are deployed in a wireless sensor network across a large…
eess.SP2019★ 5 cited
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks
Qikun Xiang, Ido Nevat, Gareth W. Peters
Spatial regression of random fields based on potentially biased sensing information is proposed in this paper. One major concern in such applications is that since it is not known…