Two-dimensional adaptive prediction, smoothing and filtering
Peter E. Wellstead, Glenn Wagner, J.R. Caldas-Pinto · IEE Proceedings F Communications Radar and Signal Processing · 1987
The paper describes new algorithms drawn from the field of control engineering which extend classical Weiner smoothing and prediction concepts to cover a class of two-dimensional (2-D) problems. When combined with a recursive parameter estimator, the 2-D algorithms become self-tuning in nature and provide a powerful new class of adaptive signal processing techniques. Applications include image enhancement and multisensor signal filtering.