Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling
Functional series time-dependent autoregressive moving average (FS-TARMA) models are characterized by time varying parameters which are projected onto selected functional subspaces. They offer parsimonious and effective representations for a wide range of non-stationary random signals where the evol...
Saved in:
Published in | Signal processing Vol. 96; pp. 63 - 79 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.03.2014
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!