Szczegóły publikacji
Opis bibliograficzny
The polyphase Prony method / Krzysztof DUDA, Tomasz P. ZIELIŃSKI // IEEE Signal Processing Magazine ; ISSN 1053-5888. — 2022 — vol. 39 iss. 3, s. 115–120. — Bibliogr. s. 120, Abstr.
Autorzy (2)
Dane bibliometryczne
| ID BaDAP | 140181 |
|---|---|
| Data dodania do BaDAP | 2022-05-18 |
| Tekst źródłowy | URL |
| DOI | 10.1109/MSP.2022.3148712 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | IEEE Signal Processing Magazine |
Abstract
Frequency and damping factor estimation, i.e., modal signal analysis, is a very important technical topic [1] – [11] . The Prony method [3] is widely used for frequency and damping estimation [4] , [5] and is quite popular, although it suffers from poor noise immunity. In this article, we present a simple-to-implement trick, without any additional computational load, that improves the noise immunity of the Prony method. It is based on the proper selection of the sampling frequency [6] – [11] , which seems to be overlooked in the signal processing community, or application of polyphase decomposition [12] to already acquired oversampled signals [10] . It is explained that having approximately four samples for the signal cycle is beneficial since if the sampling frequency is approximately four times the signal frequency, then approximate diagonalization of the 2 × 2 signal autocorrelation matrix occurs for a single damped sinusoid, which further results in its robust inversion in the linear prediction (LP) solution.