MiniMax Methods for Image Reconstruction
MiniMax Methods for Image Reconstruction
Matched source-channel communication for field estimation in wireless sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Source-channel communication in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Random sampling of deterministic signals: statistical analysis of Fourier transform estimates
IEEE Transactions on Signal Processing
The CEO problem [multiterminal source coding]
IEEE Transactions on Information Theory
The quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
Resilience properties of redundant expansions under additive noise and quantization
IEEE Transactions on Information Theory
To code, or not to code: lossy source-channel communication revisited
IEEE Transactions on Information Theory
Universal decentralized estimation in a bandwidth constrained sensor network
IEEE Transactions on Information Theory
Estimating inhomogeneous fields using wireless sensor networks
IEEE Journal on Selected Areas in Communications
Hi-index | 754.84 |
The estimation of bounded multivariate fields from 1-bit quantized and dithered noisy observations is considered. We consider two models for random sensor deployment based on regular Monte Carlo (simple random sampling) and stratified sampling. We propose linear estimators, and for both sensors deployment methods we establish exact expressions for the bias and variance of the estimates (including integrated mean-square errors). We show in particular that estimates of the field on the basis of stratified sensor locations always outperform estimates based on regular Monte Carlo sensor locations. For both estimation schemes, we also establish central limit theorems which can be used to compute the probability of events involving the estimates including confidence intervals.