Adaptive-frequency resonate-and-fire neurons perform sample-by-sample spectral estimation for FMCW radar, with memory scaling by number of targets rather than signal length.
FourierPIM: High-throughput in-memory Fast Fourier Transform and polynomial multiplication
2 Pith papers cite this work. Polarity classification is still indexing.
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A double machine learning framework that residualizes standard outcome-above-expectation metrics to support valid frequentist inference and player-specific effect estimation in sports analytics.
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Adaptive-Frequency Resonate-and-Fire Neurons for Spectral Estimation of Streaming Radar Signals
Adaptive-frequency resonate-and-fire neurons perform sample-by-sample spectral estimation for FMCW radar, with memory scaling by number of targets rather than signal length.
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Rethinking player evaluation in sports: Goals above expectation and beyond
A double machine learning framework that residualizes standard outcome-above-expectation metrics to support valid frequentist inference and player-specific effect estimation in sports analytics.