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:
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18777058
Supplemental Notes:
- © 2017 Sergejs Šarkovskis et al. Published by Elsevier Ltd.
Authors:
- Šarkovskis, Sergejs
- Jeršovs, Aleksandrs
- Kolosovs, Deniss
- Grabs, Elans
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
Serial:
- Procedia Engineering
- Volume: 178
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-7058
- Serial URL: http://www.sciencedirect.com/science/journal/18777058
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