Сибирский федеральный университет

Тип публикации: статья из журнала

Год издания: 2019

Идентификатор DOI: 10.17516/1997-1397-2019-12-5-606-613

Ключевые слова: Approximation function, CORDIC algorithm, Fixed-point arithmetic, FPGA, QR-decomposition

Аннотация: The fixed-point hardware architecture of the QR decomposition is constrained by a several issues that leads to decrease of a compute accuracy depending on a matrix size. In this article described the hardware architectures based on CORDIC algorithm and approximation functions. As a basis technique is used a Givens rotation technique, because it is a most suitable technique for hardware implementation. © Siberian Federal University. All rights reserved.

Журнал: Journal of Siberian Federal University - Mathematics and Physics

Выпуск журнала: Vol. 12, Is. 5

Номера страниц: 606-613

ISSN журнала: 19971397

Издатель: Siberian Federal University

• Sokolovskiy Alexey (Siberian Fed Univ, Svobodny 79, Krasnoyarsk 660041, Russia)
• Veisov Evgeny A. (Siberian Fed Univ, Svobodny 79, Krasnoyarsk 660041, Russia)
• Tyapkin Valery N. (Siberian Fed Univ, Svobodny 79, Krasnoyarsk 660041, Russia)
• Dmitriev Dmitry D. (Siberian Fed Univ, Svobodny 79, Krasnoyarsk 660041, Russia)

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