Zobrazeno 1 - 10
of 19
pro vyhledávání: '"E. Punskaya"'
Publikováno v:
IEEE Transactions on Communications. 49:579-582
In this paper, an efficient particle filtering algorithm is developed to solve the problem of demodulation of M-ary modulated signals under conditions of fading channels in the presence of non-Gaussian additive noise. Simulations for MDPSK signals ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45ce34aeff9ec38e1e1632315da2496a
https://doi.org/10.1109/26.917760
https://doi.org/10.1109/26.917760
In many engineering applications, one needs to extract the signal from the data corrupted by additive random noise and interference of different kinds in order to recover the unknown quantities of interest. This is a problem of scientific inference,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca92b11878f9a10557007c79dede376a
https://doi.org/10.1016/b978-0-240-80747-8.50028-9
https://doi.org/10.1016/b978-0-240-80747-8.50028-9
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 15, p 413170 (2004)
We develop a new receiver for joint symbol, channel characteristics, and code delay estimation for DS spread spectrum systems under conditions of multipath fading. The approach is based on particle filtering techniques and combines sequential importa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb613734954b20974d8df20354908bb
https://doi.org/10.1155/s1110865704408063
https://doi.org/10.1155/s1110865704408063
Publikováno v:
ICASSP (4)
Scopus-Elsevier
Scopus-Elsevier
In this paper, we develop a new receiver for joint symbol, channel characteristics and code delay estimation for DS spread spectrum systems under conditions of multipath fading. This nonlinear estimation problem is extremely complex. An efficient sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8cc69ac796d16685e27ec1b709be899e
https://doi.org/10.1109/icassp.2003.1202674
https://doi.org/10.1109/icassp.2003.1202674
Publikováno v:
Scopus-Elsevier
We address the problem of multiuser CDMA detection under fading conditions. The optimal detection problem can be reformulated as an optimal filtering problem for jump Markov linear systems, i.e., linear Gaussian state space models switching according
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c966a9244b829106ec657b020aab3145
https://doi.org/10.1109/ssp.2001.955216
https://doi.org/10.1109/ssp.2001.955216
Publikováno v:
ICASSP
Scopus-Elsevier
Scopus-Elsevier
We address the problem of demodulation of M-ary modulated signals under conditions of noisy fading channels. The transmitted signal is corrupted in a random manner by a variety of possible mechanisms, and our aim is to recover the original message fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2702ea55c430fbc0927dc6e44141f88e
https://doi.org/10.1109/icassp.2000.861087
https://doi.org/10.1109/icassp.2000.861087
Publikováno v:
IEEE TRANSACTIONS ON SIGNAL PROCESSING. 50(3)
We propose some Bayesian methods to address the problem of fitting a signal modeled by a sequence of piecewise constant linear (in the parameters) regression models, for example, autoregressive or Volterra models. A joint prior distribution is set up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9877bba99b72af1c9641bd8472ac6a60
http://ora.ox.ac.uk/objects/uuid:f5a3962e-d1b9-4903-9c5c-905bec48f950
http://ora.ox.ac.uk/objects/uuid:f5a3962e-d1b9-4903-9c5c-905bec48f950
Publikováno v:
Sequential Monte Carlo Methods in Practice ISBN: 9781441928870
Sequential Monte Carlo Methods in Practice
Sequential Monte Carlo Methods in Practice
Estimating the state of a nonlinear dynamic model sequentially in time is of paramount importance in applied science. Except in a few simple cases, there is no closed-form solution to this problem. It is therefore necessary to adopt numerical techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95f90eed9b4491d0c669b93bb75a1fdb
https://doi.org/10.1007/978-1-4757-3437-9_4
https://doi.org/10.1007/978-1-4757-3437-9_4
Conference
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Conference
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