Autors: Ganchosv, P., Kusmanov. G., Kabakchiev, H., Behar, V., Romansky, R. P., Gaydadjiev, G. Title: FPGA Implementation of Modified Gram-Schmidt QR-Decomposition Keywords: FPGQ, QR-decomposition, References
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Цитирания (Citation/s):
1. Aslan, S., E. Oruklu, J. Sannie. Realization of Area Efficient QR Fractorization Using Unified Division, Square Root, and Inverse Square Root Hardware. IEEE International Conference on Electro/Information Technology (eit2009), 7-9 June 2009, Windsor, ON, pp.245-250 (Canada) - 2009 - в издания, индексирани в Scopus и/или Web of Science
2. Rosado, A., T. Iakymchuk, M. Bataller, M. Wegrzyn. Hardware-Efficient Matrix Inversion Algorithm for Complex Adaptive Systems. 19th IEEE International Conference on Electronics, Circuits and Systems (ICECS), 08-12 Dec. 2012, Seville, pp.41-44 (Spain); DOI: 10.1109/ICECS.2012.6463562 - 2012 - в издания, индексирани в Scopus и/или Web of Science
3. Martinez-Villena, J.M., A. Rosado-Munoz, E. Soria-Olivas. - 2014 - в издания, индексирани в Scopus и/или Web of Science
4. Feraaz Imami. Simulation and Exploration of LAURA Processor Architectures with SystemC (M.Sc. thesis), 9 July, 2009 (71 p.) Leiden Institute of Advanced Computer Science, Leiden University (The Netherlands). http://liacs.leidenuniv.nl/assets/Masterscripties/2009-09FeraazImami2.pdf - 2009 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
5. Miller, Luke A. Modified Gram-Schmidt Core Implemented in a Single Field Programmable Gate Array. Patent US8543633 B2, Lockheed Martin Corporation, 24 September 2013 (USA) http://www.google.ch/patents/US8543633 - 2013 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
6. Romanov, A. M., B. V. Slashcov. FPGA-based Kalman Filtering for Motor Control. In the book “Network Security and Communication Engineering: Proceedings of the 2014 International Conference on Network Security and Communication Engineering (NSCE 2014), ISBN 978-1-138-02821-0, Editor Kennis Chan, 25-26 December 2014, Hong Kong; CRC Press, Taylor & Francis Group, London (UK), 2015 (https://www.crcpress.com/Network-Security-and-Communication-Engineering-Proceedings-of-the-2014/Chan/p/book/9781138028210) - 2014 - в издания, индексирани в Scopus и/или Web of Science
7. Cervantes-Lozano, Pedro, Luis F. Gonzalez-Perez, and Andres D. Garcia-Garcia. A VLSI architecture for the QR decomposition based on the MCGR algorithm. IEEE 2013 International Conference on Reconfigurable Computing and FPGAs (ReConFig), ISSN 2325-6532, 9-11 Dec. 2013, Cancun (Mexico); DOI: 10.1109/ReConFig.2013.6732267 - 2013 - в издания, индексирани в Scopus и/или Web of Science
8. Frances-Villora, Jose V., et al. Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance. Computers & Electrical Engineering, 2016 (In press), ISSN 0045-7906; Elsevier Ltd (USA) - 2016 - в издания, индексирани в Scopus и/или Web of Science
9. Michhael Parker, Volker Mauer, Dan Pritsker. QR Decomposition using FPGAs. IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS), 25-29 July 2016, e-ISSN 2379-2027; Dayton, OH (USA); (http://ieeexplore.ieee.org/abstract/document/7856841/) - 2016 - в издания, индексирани в Scopus и/или Web of Science
10. Tan Chong Yeam, Nordinah Ismail, Koichiro Mashiko, Takanori Matsuzaki. FPGA Implementation of Extreme Learning Machine System for Classification. Proceedings of the 2017 IEEE Region 10 Conference (TENCON), 5-8 November 2017 (Malaysia) - 2017 - в издания, индексирани в Scopus и/или Web of Science
Вид: публикация в международен форум