Hyperdimensional Bayesian Time Mapping (HyperBaT): A Probabilistic Approach to Time Series Mapping of Non-Identical Sequences

A common problem in time series analysis is mapping the related elements between two sequences as they progress in time. Methods such as dynamic time warping (DTW) have good performance in mapping time series signals with repeated (warped) elements relative to a reference signal. However, there is n...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on signal processing 2019-07, Vol.67 (14), p.3719-3731
Hauptverfasser:	Ruble, Macey, Hayes, Charles Ethan, Welborn, Matt, Zajic, Alenka, Prvulovic, Milos, Pitruzzello, Ann M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayesian analysis Computational complexity Computer simulation Dynamic time warping (DTW) Electronic warfare Gene sequencing Heuristic algorithms Inserts Machine learning Machine learning algorithms Mapping Microprocessors Noise measurement Radio signals side-channel Signal processing Signal processing algorithms Speech processing Time series Time series analysis
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!