Bounded-Magnitude Discrete Fourier Transform [Tips & Tricks]

Autor:	Sebastian J. Schlecht, Vesa Välimäki, Emanuël A.P. Habets
Přispěvatelé:	Department of Art and Media, Audio Signal Processing, Friedrich-Alexander University Erlangen-Nürnberg, Department of Information and Communications Engineering, Aalto-yliopisto, Aalto University
Rok vydání:	2023
Předmět:	Applied Mathematics Signal Processing Electrical and Electronic Engineering
Zdroj:	IEEE Signal Processing Magazine. 40:46-49
ISSN:	1558-0792 1053-5888
DOI:	10.1109/msp.2022.3228526
Popis:	Publisher Copyright: © 1991-2012 IEEE. Analyzing the magnitude response of a finite-length sequence is a ubiquitous task in signal processing. However, the discrete Fourier transform (DFT) provides only discrete sampling points of the response characteristic. This work introduces bounds on the magnitude response, which can be efficiently computed without additional zero padding. The proposed bounds can be used for more informative visualization and inform whether additional frequency resolution or zero padding is required.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0ed0693f55e4f7707110888b686e404 https://doi.org/10.1109/msp.2022.3228526 Zobrazit plný text záznamu