Sökning: id:"swepub:oai:lup.lub.lu.se:74829d11-7048-42aa-a2c8-dab4a2062b6b" >
Estimation of chirp...
Estimation of chirp signals with time-varying amplitudes
-
- Meng, Xiangxia (författare)
- Harbin Engineering University
-
- Jakobsson, Andreas (författare)
- Lund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,Lund University Research Groups
-
- Li, Xiukun (författare)
- Harbin Engineering University
-
visa fler...
-
- Lei, Yahui (författare)
- Harbin Engineering University
-
visa färre...
-
(creator_code:org_t)
- Elsevier BV, 2018
- 2018
- Engelska 10 s.
-
Ingår i: Signal Processing. - : Elsevier BV. - 0165-1684. ; 147, s. 1-10
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- The problem of parameters estimation of signals composed of an unknown number of chirps with time-varying amplitude is presented using a sparse reconstruction framework. The method employs a parametric model using a weighted combination of splines to model the time-varying nature of the signal amplitudes. To obtain high-resolution of the frequencies and to avoid large dimensional matrices, a dictionary refinement technique is employed. The method can accurately estimate the amplitude and frequency parameters of multiple signal components, and may be extended to allow for non-linear chirps. Furthermore, an efficient implementation to solve the resulting optimization problem is proposed. Results on both synthetic and experimental signals illustrate the efficient performance of the algorithm.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- ADMM
- Chirp signals
- Sparse reconstruction
- Time-varying amplitude
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas