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Table 1 Performance comparison of NAd implementations

From: Nearest advocate: a novel event-based time delay estimation algorithm for multi-sensor time-series data synchronization

Implementation

Mean with std.

Python

\(213\,\text {ms} \pm 1.25\,\text {ms}\)

Numba

\(907\,\upmu \text {s} \pm 3.98\,\upmu \text {s}\)

Cython

\(905\,\upmu \text {s} \pm 776\,\text {ns}\)