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Abstract
The harmonic chirp signal model has only very recently been in- troduced for modelling approximately periodic signals with a time- varying fundamental frequency. A number of estimators for the pa- rameters of this model have already been proposed, but they are ei- ther inaccurate, non-robust to noise, or very computationally inten- sive. In this paper, we propose a fast algorithm for the harmonic chirp summation method which has been demonstrated in the liter- ature to be accurate and robust to noise. The proposed algorithm is orders of magnitudes faster than previous algorithms which is also demonstrated via timing studies.
Originalsprog | Engelsk |
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Titel | 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
Antal sider | 5 |
Forlag | IEEE |
Publikationsdato | 7 mar. 2017 |
ISBN (Elektronisk) | 978-1-5090-4117-6 |
DOI | |
Status | Udgivet - 7 mar. 2017 |
Begivenhed | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, USA Varighed: 5 mar. 2017 → 9 mar. 2017 |
Konference
Konference | 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 |
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Land/Område | USA |
By | New Orleans |
Periode | 05/03/2017 → 09/03/2017 |
Sponsor | The Institute of Electrical and Electronics Engineers Signal Processing Society |
Navn | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
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ISSN | 1520-6149 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Fast Harmonic Chirp Summation'. Sammen danner de et unikt fingeraftryk.Projekter
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The Danish Council for Independent Research| Technology and Production Sciences, Danmarks Frie Forskningsfond | Sapere Aude
01/06/2014 → 30/06/2017
Projekter: Projekt › Forskning