Benefits of Stochastic Computing in Hearing Aid Filterbank Design

作者：Timothy J. Baker, Yiqiu Sun, John P. Hayes · 发表于：2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) · 年份：2021 · DOI：10.1109/biocas49922.2021.9645021 · 被引用次数：7 · 研究领域：Error Correcting Code Techniques、Advanced Wireless Communication Techniques、Neural Networks and Reservoir Computing

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.