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Updated: Jun 23, 2026
15:25
Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
Tunable photonic filters: a digital signal processing design approach
1Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria 3168, Australia. le.binh@eng.monash.edu.au
Applied Optics
|May 22, 2009
Summary
Synthesize tunable optical filters using digital signal processing for variable bandwidth and frequency control. This method offers straightforward implementation of low-pass, high-pass, bandpass, and bandstop filters.
Area of Science:
- Photonics and Signal Processing
- Optical Filter Design
Background:
- Tunable optical filters are crucial for various applications requiring adjustable spectral characteristics.
- Traditional filter designs often lack flexibility in bandwidth and center frequency control.
Purpose of the Study:
- To present a novel method for synthesizing tunable optical filters using digital signal processing (DSP).
- To demonstrate the tunability of low-pass, high-pass, bandpass, and bandstop optical filters.
Main Methods:
- Utilizing recursive digital filter design techniques.
- Describing basic filter structures: first-order all-pole optical filter (FOAPOF) and first-order all-zero optical filter (FOAZOF).
- Presenting the design process for second-order Butterworth tunable optical filters.
Main Results:
- Achieved tunable optical filters with variable bandwidth and center frequency.
- Demonstrated equivalence between all-zero and all-pole networks and optical principles of interference and resonance.
- Successfully designed tunable low-pass, high-pass, bandpass, and bandstop filters.
Conclusions:
- Digital signal processing offers a straightforward approach to implementing highly versatile tunable optical filters.
- The proposed method provides a unique and flexible solution for optical filtering applications.
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