Encoder Improvement for Simple Amplitude Fully Parallel Classifiers Based on Grey Codes
| Autor: | Deniss Kolosovs, Elans Grabs, Aleksandrs Jeršovs, Sergejs Šarkovskis |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010302 applied physics
Data collection Computer science Statistical parameter 02 engineering and technology General Medicine USable computer.software_genre 01 natural sciences 020202 computer hardware & architecture Data flow diagram Gray code 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Data mining Field-programmable gate array Encoder computer Algorithm Classifier (UML) Engineering(all) |
| Zdroj: | Procedia Engineering. 178:604-614 |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2017.01.119 |
| Popis: | 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 FPGAs manufactured by Xilinx and Altera companies. |
| Databáze: | OpenAIRE |
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