FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals - researchr publication

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Sergio Martin del Campo, Kim Albertsson, Joakim Nilsson, Jens Eliasson, Fredrik Sandin. FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals. In IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2013, Southampton, United Kingdom, September 22-25, 2013. pages 1-6, IEEE, 2013. [doi]

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