Abstract
Precision-scalable techniques constitute an efficient solution to power consumption issues thanks to the possibility to adapt arithmetic components precision to required system-level accuracy with the aim to dynamically optimize power consumption. In this paper we propose a precision-scalable approach for the implementation of a Least Mean Square (LMS) filter. Novel solution exploits variable rounding multiplications in the learning section of the LMS filter allowing to dynamically reduce the switching activity of multipliers partial products with a minimal impact on error regime performance. Results, obtained after a Place & Route in TSMC 28 nm CMOS technology, reveal a regime precision comparable to a standard LMS implementation and a power consumption improvement up to 27%.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xu Q, Mytkowicz T, Kim NS (2016) Approximate computing: a survey. IEEE Des Test 33(1):8–22
Han J, Orshansky M (2013) Approximate computing: an emerging paradigm for energy-efficient design. In: 2013 18th IEEE European test symposium (ETS), Avignon, pp 1–6
Chippa VK, Chakradhar ST, Roy K, Raghunathan A (2013) Analysis and characterization of inherent application resilience for approximate computing. In: 2013 50th ACM/EDAC/IEEE design automation conference (DAC), Austin, TX, 2013, pp. 1–9
Raha A, Jayakumar H, Raghunathan V (2016 Mar) Input-based dynamic reconfiguration of approximate arithmetic units for video encoding. In: IEEE Trans Very Large Scale Integr (VLSI) Syst 24(3):846–857
Moons B, Verhelst M (2016) A 0.3–2.6 TOPS/W precision-scalable processor for real-time large-scale ConvNets. In: 2016 IEEE symposium on VLSI circuits (VLSI-Circuits), Honolulu, HI, pp 1–2
Esposito D, Di Meo G, De Caro D, Petra N, Napoli E, Strollo AGM (2018) On the use of approximate multipliers in LMS adaptive filters. In: 2018 IEEE international symposium on circuits and systems (ISCAS), Florence, pp 1–5
De Caro D, Petra N, Strollo AGM, Tessitore F, Napoli E (2013) Fixed-width multipliers and multipliers-accumulators with min-max approximation error. IEEE Trans Circuits Syst I Regul Pap 60(9):2375–2388
Petra N, De Caro D, Garofalo V, Napoli E, Strollo AGM (2011) Design of fixed-width multipliers with linear compensation function. IEEE Trans Circuits Syst I Regul Pap 58(5):947–960
Esposito D, Di Meo G, De Caro D, Strollo AGM, Napoli E (2019) Design of low-power approximate LMS filters with precision-scalability. In: Saponara S, De Gloria A (eds) Applications in electronics pervading industry, environment and society. ApplePies 2018. Lecture Notes in Electrical Engineering, vol 550. Springer, Cham
Haykin S (2002) Adaptive filter theory. Prentice-Hall
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Di Meo, G., De Caro, D., Napoli, E., Petra, N., Strollo, A.G.M. (2020). Variable-Rounded LMS Filter for Low-Power Applications. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2019. Lecture Notes in Electrical Engineering, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-37277-4_18
Download citation
DOI: https://doi.org/10.1007/978-3-030-37277-4_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37276-7
Online ISBN: 978-3-030-37277-4
eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)