Next Article in Journal
Fiber Optic Gas Sensors Based on Lossy Mode Resonances and Sensing Materials Used Therefor: A Comprehensive Review
Previous Article in Journal
Towards an Alternative to Time of Flight Diffraction Using Instantaneous Phase Coherence Imaging for Characterization of Crack-Like Defects
Open AccessArticle

On the Design of an Energy Efficient Digital IIR A-Weighting Filter Using Approximate Multiplication

1
Faculty of Computer and Information Science, University of Ljubljana, 1000 Ljubljana, Slovenia
2
Faculty of Electrical Engineering, University of Banja Luka, 78000 Banja Luka, Bosnia and Herzegovina
*
Author to whom correspondence should be addressed.
Academic Editor: Zahir M. Hussain
Sensors 2021, 21(3), 732; https://doi.org/10.3390/s21030732
Received: 25 December 2020 / Revised: 18 January 2021 / Accepted: 20 January 2021 / Published: 22 January 2021
(This article belongs to the Section Intelligent Sensors)
This paper presents a new A-weighting filter’s design and explores the potential of using approximate multiplication for low-power digital A-weighting filter implementation. It presents a thorough analysis of the effects of approximate multiplication, coefficient quantization, the order of first-order sections in the filter’s cascade, and zero-pole pairings on the frequency response of the digital A-weighting filter. The proposed A-weighting filter was implemented as a sixth-order IIR filter using approximate odd radix-4 multipliers. The proposed filter was synthesized (Verilog to GDS) using the Nangate45 cell library, and MATLAB simulations were performed to verify the designed filter’s magnitude response and performance. Synthesis results indicate that the proposed design achieves nearly 70% reduction in energy (power-delay product) with a negligible deviation of the frequency response from the floating-point implementation. Experiments on acoustic noise suggest that the proposed digital A-weighting filter can be deployed in environmental noise measurement applications without any notable performance degradation. View Full-Text
Keywords: band-pass digital filters; A-weighting filter; approximate computing; approximate filter; noise sensing band-pass digital filters; A-weighting filter; approximate computing; approximate filter; noise sensing
Show Figures

Figure 1

MDPI and ACS Style

Pilipović, R.; Risojević, V.; Bulić, P. On the Design of an Energy Efficient Digital IIR A-Weighting Filter Using Approximate Multiplication. Sensors 2021, 21, 732. https://doi.org/10.3390/s21030732

AMA Style

Pilipović R, Risojević V, Bulić P. On the Design of an Energy Efficient Digital IIR A-Weighting Filter Using Approximate Multiplication. Sensors. 2021; 21(3):732. https://doi.org/10.3390/s21030732

Chicago/Turabian Style

Pilipović, Ratko; Risojević, Vladimir; Bulić, Patricio. 2021. "On the Design of an Energy Efficient Digital IIR A-Weighting Filter Using Approximate Multiplication" Sensors 21, no. 3: 732. https://doi.org/10.3390/s21030732

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop