Name
Abstract | ||
|---|---|---|
In time series classification and regression, signals are typically mapped into some intermediate representation used for constructing models. Since the underlying task is often insensitive to time shifts, these representations are required to be time-shift invariant. We introduce the joint time-frequency scattering transform, a time-shift invariant representation that characterizes the multiscale... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2918992 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Time-frequency analysis,Scattering,Convolution,Task analysis,Continuous wavelet transforms | Journal | 67 |
Issue | ISSN | Citations |
14 | 1053-587X | 1 |
PageRank | References | Authors |
0.38 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joakim Andén | 1 | 64 | 7.70 |
| vincent lostanlen | 2 | 27 | 8.88 |
| Stéphane Mallat | 3 | 4107 | 718.30 |