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 :
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