Low order autoregressive models for FDTD analysis of microwave filters

Authors

  • Piotr Kozakowski
  • Michał Mrozowski

DOI:

https://doi.org/10.26636/jtit.2002.1.110

Keywords:

FDTD, signal processing, AR, filters

Abstract

The forward-backward autoregressive (AR) model is applied to extract time signatures generated by the FDTD algorithm. It is shown that using simple techniques of model parameters selection one is able to reduce the model complexity for low and medium Q circuits.

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Published

2002-03-30

Issue

No. 1 (2002)

Section

ARTICLES FROM THIS ISSUE

License

Copyright (c) 2002 Journal of Telecommunications and Information Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. Kozakowski and M. Mrozowski, “Low order autoregressive models for FDTD analysis of microwave filters”, JTIT, vol. 7, no. 1, pp. 48–51, Mar. 2002, doi: 10.26636/jtit.2002.1.110.