Zobrazeno 1 - 10
of 13
pro vyhledávání: '"P. M. Djurić"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-10 (2024)
Externí odkaz:
https://doaj.org/article/eaa09d4570b54acf8855a640bf98ea8d
Autor:
Kent X. Eng, Yang Xie, Mauricio Pereira, Zygmunt J. Haas, Samir R. Das, Petar M. Djurić, Branko Glisic, Milutin Stanaćević
Publikováno v:
Sensors, Vol 24, Iss 18, p 6018 (2024)
Transportation infrastructure experiences distress due to aging, overuse, and climate changes. To reduce maintenance costs and labor, researchers have developed various structural health monitoring systems. However, the existing systems are designed
Externí odkaz:
https://doaj.org/article/41a96da8dc9e42bdb2634e8ea26d61e1
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 10 (2023)
Introduction: During labor, fetal heart rate (FHR) and uterine activity (UA) can be continuously monitored using Cardiotocography (CTG). This is the most widely adopted approach for electronic fetal monitoring in hospitals. Both FHR and UA recordings
Externí odkaz:
https://doaj.org/article/f36b1d1f8b514019a9b882e78b8c1810
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2018, Iss 1, Pp 1-17 (2018)
Abstract In this paper, we propose a massive MIMO (multiple-input-multiple-output) architecture with distributed steerable phased antenna subarrays for position estimation in the mmWave range. We also propose localization algorithms and a multistage/
Externí odkaz:
https://doaj.org/article/9e9bdc93453b406b95faea94b42859c3
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-15 (2017)
Abstract We consider the problem of sequential inference of latent time-series with innovations correlated in time and observed via nonlinear functions. We accommodate time-varying phenomena with diverse properties by means of a flexible mathematical
Externí odkaz:
https://doaj.org/article/0bac814102c24be5886c97a7c1bba59f
Publikováno v:
Sensors, Vol 21, Iss 10, p 3401 (2021)
We address the accuracy of wideband direct position estimation of a radio transmitter via a distributed antenna array in 5G cellular systems. Our derivations are based only on the presence of spatially coherent line-of-sight (LoS) signal components,
Externí odkaz:
https://doaj.org/article/1320c91cc64b4f34ae4c8450d23fe98c
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0185417 (2017)
In this paper, we propose an application of non-parametric Bayesian (NPB) models for classification of fetal heart rate (FHR) recordings. More specifically, we propose models that are used to differentiate between FHR recordings that are from fetuses
Externí odkaz:
https://doaj.org/article/d8c50f5eb95f4820a5993c856f03f7b8
Publikováno v:
Sensors, Vol 19, Iss 20, p 4582 (2019)
We address wideband direct coherent localization of a radio transmitter by a distributed antenna array in a multipath scenario with spatially-coherent line-of-sight (LoS) signal components. Such a signal scenario is realistic in small cells, especial
Externí odkaz:
https://doaj.org/article/3faa9e1c97ec4afa8e9509a903e43e95
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 17, Pp 2888-2902 (2005)
Particle filtering is a statistical signal processing methodology that has recently gained popularity in solving several problems in signal processing and communications. Particle filters (PFs) have been shown to outperform traditional filters in imp
Externí odkaz:
https://doaj.org/article/37d9109a24f84950980ba7a631010193
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 15, Pp 2278-2294 (2004)
In recent years, particle filtering has become a powerful tool for tracking signals and time-varying parameters of random dynamic systems. These methods require a mathematical representation of the dynamics of the system evolution, together with assu
Externí odkaz:
https://doaj.org/article/213c0b6137244e0c839fef0167068951