NeurosciencebioRxivPreprint
Singular superlet transform achieves markedly improved time-frequency super-resolution for separating complex neural signals
The paper introduces the singular superlet transform (SST) to improve time-frequency resolution for separating complex neural signals, showing better performance than existing methods in isolating neuronal spikes and decomposing acoustic data.