Low order autoregressive models for FDTD analysis of microwave 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.

Keywords

• FDTD
• signal processing
• AR
• filters