An Overview of the Adaptive Robust DFT and It’s Applications | Chapter 6 | Technological Innovation in Engineering Research Vol. 4

This paper discusses the resilient discrete Fourier transform (RDFT) approach, which is used for robust processing of wideband and frequency-modulated (FM) signals buried in non-Gaussian heavy-tailed noise. We concentrate on using robust estimators, both adaptive and non-adaptive, to conduct spectrum analysis and filtering on signals that have undergone impulsive distortions. It is shown that using adaptive location parameter estimators is better than using non-adaptive ones by exploring a variety of them. By contrasting the effectiveness of adaptive and non-adaptive RDFT approaches in various noise scenarios, this is demonstrated. Recent developments in the area are also covered.

Author(s) Details:

Oleksii Roienko,

National Aerospace University, Kharkov, Ukraine.

Vladimir Lukin,

National Aerospace University, Kharkov, Ukraine.

Viacheslav Oliinyk,

National Aerospace University, Kharkov, Ukraine.

Igor Djurovic,

University of Montenegro, Podgorica, Montenegro.

Marco Simeunovic,

University of Donja Gorica, Podgorica, Montenegro.

Please see the link here: https://stm.bookpi.org/TIER-V4/article/view/7311