We propose a novel approach for designing a low power datapath in wireless communication systems. Especially, we focus on the digital FIR filter. Our proposed approach can reduce the power consumption and the circuit area of the digital FIR filter by optimizing the bitwidth of the each filter coefficient with keeping the filter calculation accuracy. At first, we formulate the constraints about keeping accuracy of the filter calculations. We define the problem to find the optimized bitwidth of each filter coefficient. Our defined problem can be solved by using the commercial optimization tool. We evaluate the effects of consuming power reduction by comparing the digital FIR filters designed in the same bitwidth of all coefficients. We confirm that our approach is effective for a low power digital FIR filter.
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Kosuke TARUMI, Akihiko HYODO, Masanori MUROYAMA, Hiroto YASUURA, "Bitwidth Optimization for Low Power Digital FIR Filter Design" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 4, pp. 869-875, April 2005, doi: 10.1093/ietfec/e88-a.4.869.
Abstract: We propose a novel approach for designing a low power datapath in wireless communication systems. Especially, we focus on the digital FIR filter. Our proposed approach can reduce the power consumption and the circuit area of the digital FIR filter by optimizing the bitwidth of the each filter coefficient with keeping the filter calculation accuracy. At first, we formulate the constraints about keeping accuracy of the filter calculations. We define the problem to find the optimized bitwidth of each filter coefficient. Our defined problem can be solved by using the commercial optimization tool. We evaluate the effects of consuming power reduction by comparing the digital FIR filters designed in the same bitwidth of all coefficients. We confirm that our approach is effective for a low power digital FIR filter.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.4.869/_p
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@ARTICLE{e88-a_4_869,
author={Kosuke TARUMI, Akihiko HYODO, Masanori MUROYAMA, Hiroto YASUURA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Bitwidth Optimization for Low Power Digital FIR Filter Design},
year={2005},
volume={E88-A},
number={4},
pages={869-875},
abstract={We propose a novel approach for designing a low power datapath in wireless communication systems. Especially, we focus on the digital FIR filter. Our proposed approach can reduce the power consumption and the circuit area of the digital FIR filter by optimizing the bitwidth of the each filter coefficient with keeping the filter calculation accuracy. At first, we formulate the constraints about keeping accuracy of the filter calculations. We define the problem to find the optimized bitwidth of each filter coefficient. Our defined problem can be solved by using the commercial optimization tool. We evaluate the effects of consuming power reduction by comparing the digital FIR filters designed in the same bitwidth of all coefficients. We confirm that our approach is effective for a low power digital FIR filter.},
keywords={},
doi={10.1093/ietfec/e88-a.4.869},
ISSN={},
month={April},}
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TY - JOUR
TI - Bitwidth Optimization for Low Power Digital FIR Filter Design
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 869
EP - 875
AU - Kosuke TARUMI
AU - Akihiko HYODO
AU - Masanori MUROYAMA
AU - Hiroto YASUURA
PY - 2005
DO - 10.1093/ietfec/e88-a.4.869
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2005
AB - We propose a novel approach for designing a low power datapath in wireless communication systems. Especially, we focus on the digital FIR filter. Our proposed approach can reduce the power consumption and the circuit area of the digital FIR filter by optimizing the bitwidth of the each filter coefficient with keeping the filter calculation accuracy. At first, we formulate the constraints about keeping accuracy of the filter calculations. We define the problem to find the optimized bitwidth of each filter coefficient. Our defined problem can be solved by using the commercial optimization tool. We evaluate the effects of consuming power reduction by comparing the digital FIR filters designed in the same bitwidth of all coefficients. We confirm that our approach is effective for a low power digital FIR filter.
ER -