Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammadali Sebghati"'
Publikováno v:
Telecommunication Systems. 81:615-623
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f942b0bdbfbf435ca9e19ff8759d86
https://doi.org/10.1007/s11235-022-00965-4
https://doi.org/10.1007/s11235-022-00965-4
Publikováno v:
2022 International Symposium on Networks, Computers and Communications (ISNCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::216e3afea137d73a47c0031755c2efdd
https://doi.org/10.1109/isncc55209.2022.9851702
https://doi.org/10.1109/isncc55209.2022.9851702
Publikováno v:
Internet Technology Letters. 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29f2681e24179d2563406d390ceed2db
https://doi.org/10.1002/itl2.291
https://doi.org/10.1002/itl2.291
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing. 2014
In this paper, an analytical approach to estimate the instantaneous frequencies of a multicomponent signal is presented. A non-stationary signal composed of oscillation modes or resonances is described by a multicomponent AM-FM model. The proposed me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b67a6996c7acab5299e861e9fe8d30d
https://doi.org/10.1186/1687-4722-2014-8
https://doi.org/10.1186/1687-4722-2014-8
Publikováno v:
ICASSP
This paper presents a new method for extracting orthogonal bases from AM-FM signals. Since AM-FM signals are non-stationary, appropriate basis functions are sought provided that instantaneous frequency can be defined meaningfully. With respect to the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::591f616a1c33926ba1bc2d13d65cb0dd
https://doi.org/10.1109/icassp.2011.5947184
https://doi.org/10.1109/icassp.2011.5947184
Publikováno v:
2008 5th IEEE Sensor Array and Multichannel Signal Processing Workshop.
Jump processes are special kind of non-Gaussian stochastic processes with random jumps at random time points. These processes can be used to model sudden random variations of state variables in dynamic systems. We propose a new algorithm for tracking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d1a4874d7b02ede278786bb8427961b
https://doi.org/10.1109/sam.2008.4606901
https://doi.org/10.1109/sam.2008.4606901