Superletsって2021年に発表されてたのか、全然知らなかった、複数のCWTの幾何平均って感じか https://t.co/aS7qsWBq0S 非公式だけどMITライセンスで公開されてるのいいな、明日試そう https://t.co/ruObSE0yQR
@dngman Why not use wavelets with varying number of cycles like here https://t.co/gHg4nbat22 for better capturing time-frequency patterns?
Such precision! This is a real game changer..🧠 https://t.co/QxdSjmatLV
A new TINS paper was published in @NatureComm this year! We developed a time-frequency super-resolution method called #superlets for analyzing time-series data. https://t.co/rc3sokXZ6h
RT @NeuroAnton: "Finite oscillation transients are difficult to localize simultaneously in both time and freq. We introduce a spectral esti…
RT @NeuroAnton: "Finite oscillation transients are difficult to localize simultaneously in both time and freq. We introduce a spectral esti…
RT @NeuroAnton: "Finite oscillation transients are difficult to localize simultaneously in both time and freq. We introduce a spectral esti…
RT @NeuroAnton: "Finite oscillation transients are difficult to localize simultaneously in both time and freq. We introduce a spectral esti…
"Finite oscillation transients are difficult to localize simultaneously in both time and freq. We introduce a spectral estimator enabling time-frequency super-resolution, called superlet, that uses sets of wavelets with increasingly constrained bandwidth"
The normalization of wavelets in the set facilitates exploration of data with scale-free, fractal nature, containing oscillation packets that are self-similar across frequencies. https://t.co/4CggbXk6Cg
Time-frequency super-resolution with superlets https://t.co/NW4OSj4iza