Statistically inferred time warping: extending the cyclostationarity paradigm from regular to irregular statistical cyclicity in scientific data

Statistically inferred time warping: extending the cyclostationarity paradigm from regular to irregular statistical cyclicity in scientific data

Abstract Statistically inferred time-warping functions are proposed for transforming data exhibiting irregular statistical cyclicity (ISC) into data exhibiting regular statistical cyclicity (RSC). This type of transformation enables the application of the theory of cyclostationarity (CS) and polyCS...

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Bibliographic Details
Main Author: William A. Gardner
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Cyclostationarity
Irregular cyclicity
Rhythmicity
Signals
Time-series
Time warping
Online Access:http://link.springer.com/article/10.1186/s13634-018-0564-6

Internet

http://link.springer.com/article/10.1186/s13634-018-0564-6

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