(27) Stanley L. Sclove. On segmentation of signals, time series, and images. Proceedings of the 30th Conference on the Design of Experiments. U.S. Army Research Office, Research Triangle Park, NC, 1985, pp. 267-290.

Signals and time series often are not homogeneous but rather are generated by mechanisms or processes with various phases. Similarly, images are not homogeneous but contain various objects. "Segmentation" is a process of attempting to recover automatically the phases or objects. A model for representing such signals, time series, and images is discussed. Some approaches to estimation and segmentation in this model are presented.

Key words and phrases: statistical pattern recognition, classification; temporal correlation, spatial correlation; optimization by relaxation method.