DocumentCode
1744040
Title
Low order autoregressive (AR) models for FDTD analysis of microwave filters
Author
Kozakowski, Piotr ; Mrozowski, Michl
Author_Institution
Dept. of Electron. Telecommun. & Inf., Tech. Univ. Gdansk, Poland
Volume
1
fYear
2000
fDate
2000
Firstpage
267
Abstract
The forward-backward autoregressive model is applied to extract time signatures generated by the FDTD algorithm. It is shown that using simple techniques of model parameter selection one is able to reduce the model complexity for low and medium Q circuits
Keywords
Q-factor; autoregressive processes; finite difference time-domain analysis; microwave filters; FDTD analysis; circuit Q factor; forward-backward autoregressive model; low-order AR models; microwave filters; model complexity; parameter selection; time signature extraction; Circuit analysis; Circuit analysis computing; Electromagnetic waveguides; Extrapolation; Finite difference methods; Frequency domain analysis; Microwave filters; Microwave generation; Signal processing algorithms; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwaves, Radar and Wireless Communications. 2000. MIKON-2000. 13th International Conference on
Conference_Location
Wroclaw
Print_ISBN
83-906662-3-5
Type
conf
DOI
10.1109/MIKON.2000.913921
Filename
913921
Link To Document