November 16, 2024
Taher Yazdanpanah

Taher Yazdanpanah

Academic Rank: Associate professor
Address:
Degree: Ph.D in -
Phone: -
Faculty: Faculty of Intelligent Systems and Data Science

Research

Title A robust eigenbasis generation system for the discrete Fourier transform
Type Article
Keywords
Discrete Fourier transform Eigendecomposition Real eigenvectors
Journal DIGITAL SIGNAL PROCESSING
DOI https://doi.org/10.1016/j.dsp.2024.104733
Researchers fatemeh zarei (First researcher) , Ali Bagheri-Bardi (Second researcher) , Taher Yazdanpanah (Third researcher) , Milos Dakovic (Fourth researcher) , Miloš Brajović (Fifth researcher) , Ljubiša Stanković (Not in first six researchers)

Abstract

We have developed a systematic approach to construct an intelligible real eigenbasis for discrete Fourier transforms (DFT) by directly utilizing the eigenbases of some specific types of discrete sine and cosine transforms (DST and DCT). This methodological advancement not only enhances the comprehension of DFT spectra but also leads to a significant outcome: the identification of an explicit discrete analogue of Hermite-Gaussian functions within the context of DFT. By capitalizing on the inherent structure present in DST and DCT eigenbases, our approach facilitates a seamless transition to the domain of discrete Hermite-Gaussian functions, thereby opening up new avenues for related applications.