Encoder Improvement for Simple Amplitude Fully Parallel Classifiers Based on Grey Codes
The present article describes functionality of real-time classifier usable for data flow statistical parameters calculations, different modulation types symbol detecting and in other applications, where the fastest association of input signals sample is required with one of the predefined categories. The effective implementation of encoder with high number of bits for fully parallel classifier is provided based on Gray codes (Gray, 1953). The work is concluded with comparative analysis of encoder standard implementation and its optimized version for Field Programmable Gate Arrays (FPGAs) manufactured by Xilinx and Altera companies.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
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Supplemental Notes:
- © 2017 Sergejs Šarkovskis et al. Published by Elsevier Ltd.
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Authors:
- Šarkovskis, Sergejs
- Jeršovs, Aleksandrs
- Kolosovs, Deniss
- Grabs, Elans
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Conference:
- 16th International Scientific Conference Reliability and Statistics in Transportation and Communication (RelStat-2016)
- Location: Riga , Latvia
- Date: 2016-10-19 to 2016-10-22
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 604-614
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Serial:
- Procedia Engineering
- Volume: 178
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-7058
- Serial URL: http://www.sciencedirect.com/science/journal/18777058
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Classification; Data collection; Implementation; Optimization; Real time data processing; Statistical analysis
- Uncontrolled Terms: Encoding (Data transfer)
- Subject Areas: Data and Information Technology; Highways;
Filing Info
- Accession Number: 01633164
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 9 2017 1:52PM