Goertzel Algorithm Generalized to Non-integer Multiples of Fundamental Frequency
Loading...
Date
Authors
Sysel, Petr
Rajmic, Pavel
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
SpringerOpen
Altmetrics
Abstract
The paper deals with the Goertzel algorithm, used to establish the modulus and phase of harmonic components of a signal. The advantages of the Goertzel approach over the DFT and the FFT in cases of a few harmonics of interest are highlighted, with the paper providing deeper and more accurate analysis than can be found in the literature, including the memory complexity. But the main emphasis is placed on the generalization of the Goertzel algorithm, which allows us to use it also for frequencies which are not integer multiples of the fundamental frequency. Such an algorithm is derived at the cost of negligibly increasing the computational and memory complexity.
The paper deals with the Goertzel algorithm, used to establish the modulus and phase of harmonic components of a signal. The advantages of the Goertzel approach over the DFT and the FFT in cases of a few harmonics of interest are highlighted, with the paper providing deeper and more accurate analysis than can be found in the literature, including the memory complexity. But the main emphasis is placed on the generalization of the Goertzel algorithm, which allows us to use it also for frequencies which are not integer multiples of the fundamental frequency. Such an algorithm is derived at the cost of negligibly increasing the computational and memory complexity.
The paper deals with the Goertzel algorithm, used to establish the modulus and phase of harmonic components of a signal. The advantages of the Goertzel approach over the DFT and the FFT in cases of a few harmonics of interest are highlighted, with the paper providing deeper and more accurate analysis than can be found in the literature, including the memory complexity. But the main emphasis is placed on the generalization of the Goertzel algorithm, which allows us to use it also for frequencies which are not integer multiples of the fundamental frequency. Such an algorithm is derived at the cost of negligibly increasing the computational and memory complexity.
Description
Keywords
Goertzel algorithm , generalization , spectrum , DFT , DTFT , DTMF , Goertzel algorithm , generalization , spectrum , DFT , DTFT , DTMF
Citation
EURASIP Journal on Advances in Signal Processing. 2012, vol. 2012, issue 1, p. 1-20.
https://asp-eurasipjournals.springeropen.com/articles/10.1186/1687-6180-2012-56
https://asp-eurasipjournals.springeropen.com/articles/10.1186/1687-6180-2012-56
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en
Study field
Comittee
Date of acceptance
Defence
Result of defence
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as Creative Commons Attribution 2.0 Generic

0000-0003-1503-1320 