Abstract
Parallel recognition and estimation of all vector components of an input signal is shown to be possible if the standard vectors of the alphabet of classes constitute a basis and the input signal is a linear combination of noisy standard signals. The characteristics of the matrix filter intended to operate in the parallel recognition system have been obtained. The noise immunity of the system is investigated. An approach to the construction of characteristics ensuring error-free recognition is proposed.
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