Design, Implementation, Comparison, and Performance analysis between Analog Butterworth and Chebyshev-I Low Pass Filter Using Approximation, Python and Proteus

TL;DR

This paper compares Butterworth and Chebyshev-I analog low pass filters through manual calculations, Python simulations, and hardware implementation, analyzing their performance in noise reduction applications.

Contribution

It provides a comprehensive comparison of Butterworth and Chebyshev-I filters across different implementation methods, including manual, software, and hardware approaches.

Findings

Chebyshev-I filters have sharper roll-off than Butterworth.

Performance varies between manual, software, and hardware implementations.

The study offers insights into practical filter design and application.

Abstract

Filters are broadly used in signal processing and communication systems in noise reduction. Butterworth, Chebyshev-I Analog Low Pass Filters are developed and implemented in this paper. The filters are manually calculated using approximations and verified using Python Programming Language. Filters are also simulated in Proteus 8 Professional and implemented in the Hardware Lab using the necessary components. This paper also denotes the comparison and performance analysis of filters using Manual Computations, Hardware, and Software.