Benefits of Stochastic Computing in Hearing Aid Filterbank Design

Designing low-cost filterbanks is important due to severe resource limitations imposed by hearing aid size. Here, we develop a novel FIR filterbank employing stochastic computing (SC). SC-based filters use (pseudo)-random bitstreams to efficiently perform the core filtering operation. We demonstrate...

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Bibliographic Details
Published in2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) pp. 1 - 5
Main Authors Baker, Timothy J., Sun, Yiqiu, Hayes, John P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.10.2021
Subjects
Conferences
Costs
filterbanks
Filtering
Finite impulse response filters
FIR filters
Hearing aids
Power demand
Power filters
stochastic computing
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DOI10.1109/BioCAS49922.2021.9645021

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Summary:Designing low-cost filterbanks is important due to severe resource limitations imposed by hearing aid size. Here, we develop a novel FIR filterbank employing stochastic computing (SC). SC-based filters use (pseudo)-random bitstreams to efficiently perform the core filtering operation. We demonstrate that SC is well-suited to low-cost filterbank design and compare our SC filterbank to a conventional sequential binary (SB) design. We show that the SC design achieves the same accuracy and latency as the SB one, with an exceptionally large 70% reduction in chip area. The power consumption of our proposed SC filterbank is 38-96% that of the SB design.
DOI:10.1109/BioCAS49922.2021.9645021