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Signal processing tasks such as classification or recognition may benefit from implementation strategies inspired by biological sensory pathways. In this paper, we employ an information-theoretic framework to explore the possible energy savings that can result from such an approach when applied to a specific problem, the artificial olfactory system. A preliminary evaluation of the efficiency versus SNR trade-offs for different signal representations demonstrates the advantage of one continuous-time discrete-valued (CTDV) signal representation in the low-precision regime with respect to the digital approach. These results are consequently applied to a joint circuit-architecture optimization of an artificial olfaction signal processing system, leading to promising indications of potential energy savings.
Signal Processing Systems (SiPS), 2011 IEEE Workshop on
Date of Conference: 4-7 Oct. 2011