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Bayesian source localization using stochastic computation

Krishna, A and Thakur, CS (2021) Bayesian source localization using stochastic computation. In: 53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021, 22-28 May 2021, Daegu.

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Official URL: https://doi.org/10.1109/ISCAS51556.2021.09401725


Bayesian models are challenging to implement on hardware with the conventional design methodologies due to their high computational complexity. Conventional digital architectures are designed for deterministic computation and are not optimal for implementing probabilistic algorithms on hardware. In this work, we propose an alternative method to implement the probabilistic algorithms such as Bayesian models on hardware using a stochastic computation (SC) framework. This framework leverages on the probabilistic nature of the Bayesian models and facilitates the implementation of complex probabilistic models using simple logic gates. From an application standpoint, we propose a novel Bayesian source localization model (BSLM) that estimates a source's position in a noisy environment by solving the Bayesian recursive equation implemented on Field Programmable Gate Array (FPGA) with low resource utilization. The proposed SC design framework will pave the way to build complex probabilistic algorithms for real-time edge computing applications. © 2021 IEEE

Item Type: Conference Paper
Publication: Proceedings - IEEE International Symposium on Circuits and Systems
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Bayesian networks; Field programmable gate arrays (FPGA); Integrated circuit design; Logic gates; Stochastic systems, Computing applications; Conventional design; Digital architecture; Probabilistic algorithm; Probabilistic models; Recursive equations; Resource utilizations; Stochastic computations, Stochastic models
Department/Centre: Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited: 07 Oct 2021 15:53
Last Modified: 07 Oct 2021 15:53
URI: http://eprints.iisc.ac.in/id/eprint/69636

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