Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Maria Hansson-Sandsten"'
Autor:
Maria Hansson-Sandsten
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/680fcda96f314b0090b60ad5a0ae14b3
Autor:
Maria Hansson-Sandsten, Johan Sandberg
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/65cb98c03efa40bfbdf1ad91ba663198
Autor:
Maria Hansson-Sandsten, Johan Sandberg
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
This paper concerns the mean square error optimal weighting factors for multiple window spectrogram of different stationary and nonstationary processes. It is well known that the choice of multiple windows is important, but here we show that the weig
Externí odkaz:
https://doaj.org/article/711537626efe48d588af76d11718089b
Publikováno v:
IEEE Transactions on Signal Processing; 64(7), pp 1798-1807 (2016)
In this work, we present a method for estimating the parameters detailing an unknown number of linear, possibly harmonically related, chirp signals, using an iterative sparse reconstruction framework. The proposed method is initiated by a re-weighted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de07a230e3c36d1d017c21cc8b370f59
https://doi.org/10.1109/tsp.2015.2507538
https://doi.org/10.1109/tsp.2015.2507538
Publikováno v:
Advances in Acoustics and Vibration, Vol 2015 (2015)
Time-frequency representation algorithms such as spectrograms have proven to be useful tools in marine biosonar signal analysis. Although there are several different time-frequency representation algorithms designed for different types of signals wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2871d91e2f84befe2fe64280ae8038d2
https://doi.org/10.1155/2015/342503
https://doi.org/10.1155/2015/342503
Publikováno v:
IEEE Signal Processing Letters. 22:100-104
The reassignment technique is used to increase localization for signal components in the time-frequency representation. The technique gives perfect localization for infinite linear chirp-signals, impulses and constant frequency signals but not for sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::174e25cac1d686103bdefdf4796d78cf
https://doi.org/10.1109/lsp.2014.2350030
https://doi.org/10.1109/lsp.2014.2350030
Publikováno v:
Signal Processing. 92:1290-1301
The cepstrum of a random process has proven to be a useful tool in a wide range of applications. The common cepstrum estimator based on the periodogram suffers from large variance, and, to a smaller degree, from bias. The variance can be reduced by s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3da93e1a4c1139a573d056baac29f5f3
https://doi.org/10.1016/j.sigpro.2011.11.026
https://doi.org/10.1016/j.sigpro.2011.11.026
Autor:
Maria Hansson-Sandsten
Publikováno v:
Signal Processing. 91:1457-1465
In this paper, a penalty function is designed and used in the computation of multitapers which correspond to the Wigner and Choi-Williams distributions. The resulting multitaper spectrogram will approximately fulfill the concentration of the distribu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2224794b690d9aaa1532d8dbfcc0c1
https://doi.org/10.1016/j.sigpro.2010.10.010
https://doi.org/10.1016/j.sigpro.2010.10.010
Publikováno v:
IEEE Transactions on Signal Processing. 57:868-877
The ambiguity domain plays a central role in estimating the time-varying spectrum and in estimating the covariance function of nonstationary random processes in continuous time. For processes in discrete time, there exist different definitions of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6484c429e5be7333855b2e68201978d
https://doi.org/10.1109/tsp.2008.2009892
https://doi.org/10.1109/tsp.2008.2009892
Autor:
Peter Jönsson, Maria Hansson-Sandsten
Publikováno v:
IEEE Transactions on Biomedical Engineering. 54:1770-1779
In this paper, we evaluate the correlation estimate, based on multiple window spectrum analysis, between the respiratory center frequency and the high-frequency band of the heart- rate variability (HRV) power. One aim is to examine whether a more res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d01730437e58616477b799f955db8264
https://doi.org/10.1109/tbme.2007.904527
https://doi.org/10.1109/tbme.2007.904527