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In this volume the investigations of filtering problems, a start on which has been made in [55], are being continued and are devoted to theoretical problems of processing stochastic fields. The derivation of the theory of processing stochastic fields is similar to that of the theory extensively developed for stochastic processes ('stochastic fields with a onedimensional domain'). Nevertheless there exist essential distinctions between these cases making a construction of the theory for the multidimensional case in such a way difficult. Among these are the absence of the notion of the 'pastfuture' in the case of fields, which plays a fundamental role in constructing stochastic processes theory. So attempts to introduce naturally the notion of the causality (nonanticipativity) when synthesising stable filters designed for processing fields have not met with success. Mathematically, principal distinctions between multidimensional and onedimensional cases imply that the set of roots of a multivariable polyno mial does not necessary consist of a finite number of isolated points. From the main theorem of algebra it follows that in the onedimensional case every poly nomial of degree n has just n roots (considering their multiplicity) in the com plex plane. As a consequence, in particular, an arbitrary rational function (.
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