Abstract
In this paper, success on cellular nonlinear network emulator core that generates active waves such as autowaves and traveling waves is intended. This wave computer core has 4 × 4 parallel processing units. Cellular nonlinear network in this study has 16; 384 nodes arranged in 128×128 normal grid form. The evolution algorithm of the network is executed by the hardware implemented on a Xilinx XC2VP30-FF896 FPGA chip using fixed-point arithmetic. The FPGA-based platform has an on-line monitor output in order to observe active wave evolution and a host computer in order to program the network. Using fixedpoint number format rather than floating-point number format has some advantages in the sense of speed and resource usage. The implementation in this study can be adapted to observe Doppler Effect on traveling waves and autowaves.
Original language | English |
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Title of host publication | 2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1514-1517 |
Number of pages | 4 |
ISBN (Electronic) | 9781479983919 |
DOIs | |
Publication status | Published - 27 Jul 2015 |
Event | IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal Duration: 24 May 2015 → 27 May 2015 |
Publication series
Name | Proceedings - IEEE International Symposium on Circuits and Systems |
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Volume | 2015-July |
ISSN (Print) | 0271-4310 |
Conference
Conference | IEEE International Symposium on Circuits and Systems, ISCAS 2015 |
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Country/Territory | Portugal |
City | Lisbon |
Period | 24/05/15 → 27/05/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Cellular Neural/Nonlinear Networks (CNNs)
- Field Programmable Gate Array (FPGA)
- Fixed-Point Arithmetic
- Wave Computer