FIELD: measuring equipment.
SUBSTANCE: invention relates to the field of tele-radiocommunication and measurement equipment and can be used in signal processing devices. Essence of the claimed probabilistic device for calculating the spectral density of signals is that the circuit includes a counter of operands, two result counters, two permanent memory blocks, two result transcription blocks, two probabilistic multiplying devices operating synchronously, whose first inputs are given a binary value of the input signal, a cosine value is fed to the second input of the first probabilistic multiplier, and the second input of the second of the first probabilistic multiplier receives the sine value stored in the respective permanent memory blocks, at the outputs of which probabilistic mappings of the product of the submitted values are formed, which, in turn, are fed to the corresponding result counters performing the cumulative summation operation, whose outputs are fed to the first inputs of the corresponding result transcription blocks performing the inverse transformation of the probabilistically presented data into binary positional codes, to the second inputs of which a resolving information output signal is generated, which is generated in the counter of operands by overfilling it under the influence of a control signal from the first probabilistic multiplier, which is generated after the multiplication of each pair of factors; the output of the device is the set of outputs of the two result transcription blocks. Technical result is achieved by replacing digital multipliers in the prototype by probabilistic multiplying devices, and replacing accumulative digital adders by binary counters that ensure the execution of a probabilistic convolution operation.
EFFECT: technical result of the claimed invention is the development of an apparatus for calculating the spectral density of a signal with probabilistic display of data, which allows to reduce the device's hardware size in comparison with similar digital devices.
1 cl, 1 dwg
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Authors
Dates
2018-04-26—Published
2017-01-10—Filed