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Abstract

A method includes the steps of segment-wise detecting and bringing into coincidence signal waveforms for conversion into monotone and continuous trajectories for real-time pattern recognition, localization, and monitoring optical and acoustic signals. The method also determines transit-time differentials, wherein pre-programmed key signals are detected by signal sampling, data is correlated from the sampled signals, and pairs of signal combinations of given signal transit-time differentials from the coincidence of the detected signals are determined. The apparatus includes at least two receivers for generating sequences of digital values from incoming acoustic signals, vector generators to convert the digital values into input vectors (7), a signal detection unit (C1) downstream from each vector generator and having parallel, programmable signal-flow chains and adder/comparator units (1, 10) mounted perpendicularly to the signal-flow chains at equidistant spacings, and a multi-coincidence unit (C2) consisting of two antiparallel shift-register forming flipflop chains and an AND gate (20).

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First Claim