An Overview of the Adaptive Robust DFT and It’s Applications
Oleksii Roienko, Владимир Васильевич Лукин, Viacheslav Oliinyk, Igor Djurović, Marco Simeunovic · Book Publisher International (a part of SCIENCEDOMAIN International) · 2022
The robust discrete Fourier transform (RDFT) technique, which is utilized for robust processing of frequency-modulated (FM) and wideband signals buried in non-Gaussian heavy-tailed noise, is discussed in this study. We focus on employing adaptive and non-adaptive robust estimators to perform spectral analysis and filtering of signals distorted by impulsive distortions. Several adaptive location parameter estimators are explored, and it is demonstrated that their use is preferable to non-adaptive counterparts. This is illustrated by comparing the efficiency of adaptive and non-adaptive RDFT techniques in various noise situations. In addition, recent achievements in the field are discussed.