Abstract
A minimum mean-square-error filter for pattern-recognition problems with input scene noise that is spatially disjoint (or nonoverlapping) with the target is described. The filter is designed to locate the target by producing a delta function output at the target position. The filter minimizes the mean square of the difference between the desired output delta function and the filter output in response to a noisy input data. We show that the filter output has a well-defined peak and small sidelobes in the presence of spatially disjoint target and scene noise.
© 1993 Optical Society of America
Full Article | PDF ArticleMore Like This
Bahram Javidi, Guanshen Zhang, Farokh Parchekani, and Philippe Refregier
Appl. Opt. 33(35) 8197-8209 (1994)
Bahram Javidi, Farokh Parchekani, and Guanshen Zhang
Appl. Opt. 35(35) 6964-6975 (1996)
Bahram Javidi, Philippe Refregier, and Peter Willett
Opt. Lett. 18(19) 1660-1662 (1993)