IEICE TRANSACTIONS on Fundamentals
A Low-Cost Floating Point Vectoring Algorithm Based on CORDIC
Summary :
In this paper we develop a CORDIC-based floating-point vectoring algorithm which reduces significantly the amount of microrotation steps as compared to the conventional algorithm. The overhead required to accomplish this is minimized by the introduction of an angle selection function which considers only a few of the total amount of bits used to represent the vector being rotated. At the same time, the cost of individual microrotations is kept low by the utilization of a fast rotations angle base.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.8 pp.1654-1662
- Publication Date
- 2000/08/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Jeong-A LEE, Kees-Jan van der KOLK, Ed F. A. DEPRETTERE, "A Low-Cost Floating Point Vectoring Algorithm Based on CORDIC" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 8, pp. 1654-1662, August 2000, doi: .
Abstract: In this paper we develop a CORDIC-based floating-point vectoring algorithm which reduces significantly the amount of microrotation steps as compared to the conventional algorithm. The overhead required to accomplish this is minimized by the introduction of an angle selection function which considers only a few of the total amount of bits used to represent the vector being rotated. At the same time, the cost of individual microrotations is kept low by the utilization of a fast rotations angle base.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_8_1654/_p
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@ARTICLE{e83-a_8_1654,
author={Jeong-A LEE, Kees-Jan van der KOLK, Ed F. A. DEPRETTERE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low-Cost Floating Point Vectoring Algorithm Based on CORDIC},
year={2000},
volume={E83-A},
number={8},
pages={1654-1662},
abstract={In this paper we develop a CORDIC-based floating-point vectoring algorithm which reduces significantly the amount of microrotation steps as compared to the conventional algorithm. The overhead required to accomplish this is minimized by the introduction of an angle selection function which considers only a few of the total amount of bits used to represent the vector being rotated. At the same time, the cost of individual microrotations is kept low by the utilization of a fast rotations angle base.},
keywords={},
doi={},
ISSN={},
month={August},}
Copy
TY - JOUR
TI - A Low-Cost Floating Point Vectoring Algorithm Based on CORDIC
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1654
EP - 1662
AU - Jeong-A LEE
AU - Kees-Jan van der KOLK
AU - Ed F. A. DEPRETTERE
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2000
AB - In this paper we develop a CORDIC-based floating-point vectoring algorithm which reduces significantly the amount of microrotation steps as compared to the conventional algorithm. The overhead required to accomplish this is minimized by the introduction of an angle selection function which considers only a few of the total amount of bits used to represent the vector being rotated. At the same time, the cost of individual microrotations is kept low by the utilization of a fast rotations angle base.
ER -
English
