Kozhemiako A. Systolic structures for the vector multioperand processing

The object of study - the processes of adding up, reconstruction and sorting of elements vector data arrays. The subject of research - structural organization of systolic processors for the parallel processing of data array. Methods of investigation are based on theory of algorithms, mathematical logic, vehicle of mathematical analysis, theory of analysis and synthesis of calculable charts, theory of digital treatment and analysis of images. The aim of the dissertation is the improvement and expansion of functional possibilities of methods and facilities of multioperand treatment of data arrays for the tasks of treatment, analysis and recognition of signals and images. The theoretical value of the received results - creation of systolic processors for multioperand treatment of vector data arrays by the slice method. The practical value of the received results - the creation of application of the offered methods and vehicle facilities for treatment of vector data arrays of realized on systolic processors allows to raises productivity and extend functional possibilities of computing facilities for the tasks of transformation, analysis and recognition of signals and images in real time.