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Information × Registration Number 0222U001569, 0120U002205 , R & D reports Title High-performance multi-channel analog-digital self-calibrated monitoring and synchronous processing of low-frequency signals popup.stage_title Head Azarov Oleksii D., Registration Date 28-01-2022 Organization Vinnytsia national technical university popup.description2  The object of research and development are the processes of obtaining, amplifying, analog-to-digital conversion, collection, digital processing, analysis and recognition of multi-channel low-frequency signals. The subject of research is methods and means to increase the functionality, accuracy, speed and noise immunity of analog-digital systems (AD-systems) conversion and processing of low-frequency signals through self-calibration of measuring channels, synchronous multichannel reception, data accumulation, electronic scanning, identification of objects using deterministic and fuzzy technologies. Research methods are modeling of processes of collection, amplification, analog-to-digital conversion and multichannel processing of low-frequency signals, recovery and identification of signal sources using neurofuzzy technologies and noise-tolerant coding, layout and experimental studies of devices and software systems. Structures of hardware and software components of multichannel AD systems of conversion, processing and monitoring of low-frequency signals are developed. Static and dynamic characteristics of ADC and DAC based on RPNS and measuring channels in general are analyzed, new methods of their control and calibration are offered. Methods of minimizing errors of DAC current generators are investigated. Microcontroller means of multichannel AD-conversion are offered. Fast algorithms of decoding of monitoring data are investigated. A method for recognizing sound fragments and a computer structure for ranking results are proposed. Deterministic and neurofuzzy methods for measuring and reconstructing acoustic signals have been developed. Product Description popup.authors popup.nrat_date 2022-03-09 Close