Noise Filtering by Fourier Series and NHA


Authors : ADITI RAI; TOIBA SHEIKH; G. S. G. N ANJANEYULU

Volume/Issue : Volume 9 - 2024, Issue 1 - January

Google Scholar : http://tinyurl.com/52r3bna4

Scribd : http://tinyurl.com/yb5wjyaf

DOI : https://doi.org/10.5281/zenodo.10489078

Abstract : Noise interference poses a significant challenge in various fields reliant on accurate signal processing such as telecommunication, audio analysis, and medical imaging. Traditional noise filtering methods, such as Spectral Subtraction method or using Notch Filters, often fail to address the complex nature of real world noise which exhibits non-linear characteristics and lacks stationary properties. This research paper adds to an already existing analytical method-–NHA (Non-linear Harmonic Analysis) - which is one of the most effective in our time. Then, using Fourier Transform we analyze how to filter out noise more effectively.

Keywords : Real world audio analysis, non-linear characteristics, Non-linear Harmonic Analysis.

Noise interference poses a significant challenge in various fields reliant on accurate signal processing such as telecommunication, audio analysis, and medical imaging. Traditional noise filtering methods, such as Spectral Subtraction method or using Notch Filters, often fail to address the complex nature of real world noise which exhibits non-linear characteristics and lacks stationary properties. This research paper adds to an already existing analytical method-–NHA (Non-linear Harmonic Analysis) - which is one of the most effective in our time. Then, using Fourier Transform we analyze how to filter out noise more effectively.

Keywords : Real world audio analysis, non-linear characteristics, Non-linear Harmonic Analysis.

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