Analysis of an Anti-Aliasing and Reconstruction System

Authors

  • Mashal Ahmad Electrical Engineering Department, University of South Australia, Adelaide, Australia Author
  • Zhong Wang Electrical Engineering Department, University of South Australia, Adelaide, Australia Author
  • Fakhar Sial Electrical Engineering Department, University of South Australia, Adelaide, Australia Author

DOI:

https://doi.org/10.57041/s4jfnh46

Keywords:

Electrocardiogram (ECG), low-pass filter, aliasing, noise

Abstract

This research develops a complete signal-processing chain for a digital electrocardiogram (ECG) monitor. The signal contains 20 Hz and 60 Hz cardiac components plus 150 Hz noise. A 6th-order Butterworth low‑pass filter with an 80 Hz cut-off removes the noise before sampling at 250 Hz, preventing aliasing. The system uses causal zero-order hold reconstruction and is proven stable, linear, and causal. MATLAB simulations validate accurate signal recovery with minimal distortion.

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Published

2025-12-30

Issue

Vol. 3 No. 2 (2025): Journal of Artificial Intelligence and Computing

Section

Articles

License

Copyright (c) 2025 https://grsh.org/journal1/index.php/jaic/cr

Creative Commons License

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

How to Cite

Analysis of an Anti-Aliasing and Reconstruction System. (2025). Journal of Artificial Intelligence and Computing, 3(2), 7-10. https://doi.org/10.57041/s4jfnh46