A DVCC Based Realization of Optimized Fractional Step Low Pass Filter

Realization of fractional-step low-pass Butterworth filter (FSLBF) using a differential voltage current conveyor (DVCC) is presented. To approximate the FSLBF characteristic, the coefficients of three different filter transfer functions are optimally determined using the Craziness-based Particle Swarm Optimization (CRPSO) algorithm. Minimum absolute pole angle, −3 dB frequency response, squared magnitude error, etc., of the FSLBFs are evaluated. Simulations verify the efficacy of DVCC-based realizations for the designed frequency filters.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icetems64039.2024.10965087
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
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A DVCC Based Realization of Optimized Fractional Step Low Pass Filter

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Advanced Adaptive Filtering Techniques
article

A DVCC Based Realization of Optimized Fractional Step Low Pass Filter

Priyanka Dutta, B. Halder, Shibendu Mahata, Soumen Mallick, Rahul Kumar Tanti, Subhajit Hati
article en

Abstract

Realization of fractional-step low-pass Butterworth filter (FSLBF) using a differential voltage current conveyor (DVCC) is presented. To approximate the FSLBF characteristic, the coefficients of three different filter transfer functions are optimally determined using the Craziness-based Particle Swarm Optimization (CRPSO) algorithm. Minimum absolute pole angle, −3 dB frequency response, squared magnitude error, etc., of the FSLBFs are evaluated. Simulations verify the efficacy of DVCC-based realizations for the designed frequency filters.

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Advanced Adaptive Filtering Techniques
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