2026-05-30T18:02:47Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/99712026-02-03T12:24:21Zcom_10630_2254col_10630_37959

Improving Fixed-Point Implementation of QR Decomposition by Rounding-to-Nearest Muñoz, Sergio D. Hormigo-Aguilar, Javier Arquitectura de ordenadores QR decomposition is a key operation in many current communication systems. This paper shows how to reduce the area of a fixed-point QR decomposition implementation based on Givens rotations by using a new number representation system. This new representation allows performing round-tonearest at the same cost of truncation. Consequently, the rounding errors of the results are halved, which allows it to reduce the word-length by one bit. This reduction positively impacts on the area, delay and power consumption of the design. 2015-06-29T10:08:51Z 2015-06-29T10:08:51Z 2015-06-29T10:08:51Z 2015-06-29 conference output http://hdl.handle.net/10630/9971 https://orcid.org/0000-0002-5454-6821 eng 19th IEEE International Symposium on Consumer Electronics ISCE 2015 Madrid 24 de Junio de 2015 open access by-nc-nd