RT Journal Article
T1 Efficient floating-point givens rotation unit
A1 Hormigo-Aguilar, Javier
A1 Muñoz, Sergio
K1 Informática - Aplicaciones
K1 Procesado de señales
AB High-throughput QR decomposition is a key operation in many advanced signal processing and communication applications. For some of these applications, using floating-point computation is becoming almost compulsory. However, there are scarce works in hardware implementations of floating-point QR decomposition for embedded systems. In this paper, we propose a very efficient high-throughput floating-point Givens rotation unit for QR decomposition. Moreover, the initial proposed design for conventional number formats is enhanced by using the new Half-Unit Biased format. The provided erroranalysis shows the effectiveness of our proposals and the trade-off of different implementation parameters. We also present FPGA implementation results and a thorough comparison between both approaches. These implementation results also reveal outstanding improvements compared to other previous similar designs in terms of area, latency, and throughput.
PB Springer
YR 2020
FD 2020-10-23
LK https://hdl.handle.net/10630/20124
UL https://hdl.handle.net/10630/20124
LA eng
NO This is a post-peer-review, pre-copyedit version of an article published in Circuits, Systems, and Signal Processing.
NO This work was supported in part by following Spanish projects:TIN2016-80920-R, and JA2012 P12-TIC-1692
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026