Low-power digital filtering using approximate processing with variable canonic signed digit coefficients

Young Woo Kim, Young Mo Yang, Jae Tack Yoo, Soo-Won Kim

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

An approximate processing reduces the computational complexity and the power consumption of a digital filter by adjusting the order to input signal statistics. We present an alternate approximate processing method which dynamically adjusts filter coefficients represented by canonic signed digit (CSD) coefficients. Proposed method adjusts the precision of the filter coefficients by controllingthe length of the CSD coefficients. By adjusting the length of the CSD coefficients in each approximation level, the proposed method can be used to reduce the computational complexity. This paper reports a procedure to select the proper length of CSD coefficients to the input signal statistics. Our experimental results with a digital filter for Audio Codec '97 demonstrated that the numbers of addition operations can be reduced down to 29.4%, 11.8%, and 3.9% for each approximation level in computing the filter coefficients.

Original languageEnglish
Pages (from-to)II-337-II-340
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
DOIs
Publication statusPublished - 2000

Fingerprint

Digital filters
Computational complexity
Statistics
Processing
Electric power utilization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Low-power digital filtering using approximate processing with variable canonic signed digit coefficients. / Kim, Young Woo; Yang, Young Mo; Yoo, Jae Tack; Kim, Soo-Won.

In: Proceedings - IEEE International Symposium on Circuits and Systems, Vol. 2, 2000, p. II-337-II-340.

Research output: Contribution to journalArticle

@article{d24423cfbae14853be23559cd9b660b0,
title = "Low-power digital filtering using approximate processing with variable canonic signed digit coefficients",
abstract = "An approximate processing reduces the computational complexity and the power consumption of a digital filter by adjusting the order to input signal statistics. We present an alternate approximate processing method which dynamically adjusts filter coefficients represented by canonic signed digit (CSD) coefficients. Proposed method adjusts the precision of the filter coefficients by controllingthe length of the CSD coefficients. By adjusting the length of the CSD coefficients in each approximation level, the proposed method can be used to reduce the computational complexity. This paper reports a procedure to select the proper length of CSD coefficients to the input signal statistics. Our experimental results with a digital filter for Audio Codec '97 demonstrated that the numbers of addition operations can be reduced down to 29.4{\%}, 11.8{\%}, and 3.9{\%} for each approximation level in computing the filter coefficients.",
author = "Kim, {Young Woo} and Yang, {Young Mo} and Yoo, {Jae Tack} and Soo-Won Kim",
year = "2000",
doi = "10.1109/ISCAS.2000.856289",
language = "English",
volume = "2",
pages = "II--337--II--340",
journal = "Proceedings - IEEE International Symposium on Circuits and Systems",
issn = "0271-4310",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Low-power digital filtering using approximate processing with variable canonic signed digit coefficients

AU - Kim, Young Woo

AU - Yang, Young Mo

AU - Yoo, Jae Tack

AU - Kim, Soo-Won

PY - 2000

Y1 - 2000

N2 - An approximate processing reduces the computational complexity and the power consumption of a digital filter by adjusting the order to input signal statistics. We present an alternate approximate processing method which dynamically adjusts filter coefficients represented by canonic signed digit (CSD) coefficients. Proposed method adjusts the precision of the filter coefficients by controllingthe length of the CSD coefficients. By adjusting the length of the CSD coefficients in each approximation level, the proposed method can be used to reduce the computational complexity. This paper reports a procedure to select the proper length of CSD coefficients to the input signal statistics. Our experimental results with a digital filter for Audio Codec '97 demonstrated that the numbers of addition operations can be reduced down to 29.4%, 11.8%, and 3.9% for each approximation level in computing the filter coefficients.

AB - An approximate processing reduces the computational complexity and the power consumption of a digital filter by adjusting the order to input signal statistics. We present an alternate approximate processing method which dynamically adjusts filter coefficients represented by canonic signed digit (CSD) coefficients. Proposed method adjusts the precision of the filter coefficients by controllingthe length of the CSD coefficients. By adjusting the length of the CSD coefficients in each approximation level, the proposed method can be used to reduce the computational complexity. This paper reports a procedure to select the proper length of CSD coefficients to the input signal statistics. Our experimental results with a digital filter for Audio Codec '97 demonstrated that the numbers of addition operations can be reduced down to 29.4%, 11.8%, and 3.9% for each approximation level in computing the filter coefficients.

UR - http://www.scopus.com/inward/record.url?scp=85013304640&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85013304640&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2000.856289

DO - 10.1109/ISCAS.2000.856289

M3 - Article

VL - 2

SP - II-337-II-340

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

SN - 0271-4310

ER -