Abstract: Deep learning methods for the power quality disturbance (PQD) classification encounter significant deployment challenges in power system applications. With the increasing integration of ...
Abstract: In this study, a Mahalanobis distance based common spatial pattern (CSP)model (MD-CSP) was proposed and its performance applied to brain-computer interface (BCI) and motor imagery EEG signal ...
turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...
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