Roundoff noise analysis of signals represented using signed power-of-two terms

It is a well-known fact that the multiplication of a number by an integer power-of-two is a very simple process in binary arithmetic. Hence, digital filters whose coefficient values are integer power-of-two are essentially multiplierless. The design of digital filters with power-of-two coefficient v...

Full description

Saved in:
Bibliographic Details
Main Authors: Yu, Ya Jun, Lim, Yong Ching
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/10356/91619
http://hdl.handle.net/10220/5987
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-91619
record_format dspace
spelling sg-ntu-dr.10356-916192020-03-07T14:02:41Z Roundoff noise analysis of signals represented using signed power-of-two terms Yu, Ya Jun Lim, Yong Ching School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering It is a well-known fact that the multiplication of a number by an integer power-of-two is a very simple process in binary arithmetic. Hence, digital filters whose coefficient values are integer power-of-two are essentially multiplierless. The design of digital filters with power-of-two coefficient values require timeconsuming optimization process and may not always be possible in some applications such as in adaptive filtering. Since hardware circuitry for real-time conversion of a binary integer into a sum of a limited number of signed power-of-two (SPT) terms is available, if the signal is expressed in SPT terms, i.e., in digit code, the filter is also multiplierless even though the coefficient values are not SPT. When each signal data is rounded to a limited number of SPT terms, a roundoff noise representing the roundoff error is introduced. In the SPT space, the quantization step size is nonuniform and so the roundoff noise characteristic is different from that produced when the quantization step size is uniform. This paper presents an analysis for the roundoff noise of signal represented using a limited number of SPT terms. The result is useful for determining the number of SPT terms required to represent a signal subject to a given roundoff noise. Published version 2009-08-03T01:10:41Z 2019-12-06T18:09:04Z 2009-08-03T01:10:41Z 2019-12-06T18:09:04Z 2007 2007 Journal Article Yu, Y. J., & Lim, Y. C. (2007). Roundoff noise analysis of signals represented using signed power-of-two terms. IEEE Transactions on Signal Processing, 55(5). 2122-2135. 1053-587X https://hdl.handle.net/10356/91619 http://hdl.handle.net/10220/5987 10.1109/TSP.2007.893216 en IEEE transactions on signal processing IEEE Transactions on Signal Processing © 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site. 14 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Yu, Ya Jun
Lim, Yong Ching
Roundoff noise analysis of signals represented using signed power-of-two terms
description It is a well-known fact that the multiplication of a number by an integer power-of-two is a very simple process in binary arithmetic. Hence, digital filters whose coefficient values are integer power-of-two are essentially multiplierless. The design of digital filters with power-of-two coefficient values require timeconsuming optimization process and may not always be possible in some applications such as in adaptive filtering. Since hardware circuitry for real-time conversion of a binary integer into a sum of a limited number of signed power-of-two (SPT) terms is available, if the signal is expressed in SPT terms, i.e., in digit code, the filter is also multiplierless even though the coefficient values are not SPT. When each signal data is rounded to a limited number of SPT terms, a roundoff noise representing the roundoff error is introduced. In the SPT space, the quantization step size is nonuniform and so the roundoff noise characteristic is different from that produced when the quantization step size is uniform. This paper presents an analysis for the roundoff noise of signal represented using a limited number of SPT terms. The result is useful for determining the number of SPT terms required to represent a signal subject to a given roundoff noise.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yu, Ya Jun
Lim, Yong Ching
format Article
author Yu, Ya Jun
Lim, Yong Ching
author_sort Yu, Ya Jun
title Roundoff noise analysis of signals represented using signed power-of-two terms
title_short Roundoff noise analysis of signals represented using signed power-of-two terms
title_full Roundoff noise analysis of signals represented using signed power-of-two terms
title_fullStr Roundoff noise analysis of signals represented using signed power-of-two terms
title_full_unstemmed Roundoff noise analysis of signals represented using signed power-of-two terms
title_sort roundoff noise analysis of signals represented using signed power-of-two terms
publishDate 2009
url https://hdl.handle.net/10356/91619
http://hdl.handle.net/10220/5987
_version_ 1681042339316891648