Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tsair-Chuan Lin"'
Publikováno v:
IEEE Access, Vol 10, Pp 105031-105039 (2022)
Percentile-value ceilings/thresholds have been mandated by governments around the world on roadway traffic sound-level. Such percentile values, by definition, change with the sound-level’s underlying probability distribution, i.e., the same percent
Externí odkaz:
https://doaj.org/article/9a41b077d7a8482083c3441a7d74a5a9
Autor:
Tsair‐Chuan Lin, Kainam Thomas Wong
Publikováno v:
IET Signal Processing, Vol 15, Iss 5, Pp 291-300 (2021)
Abstract For a Hammerstein system subject to a stochastic input that is spectrally coloured, this study is first in the open literature (to the present authors' best knowledge) to estimate its linear dynamic subsystem. This estimation is achieved wit
Externí odkaz:
https://doaj.org/article/5afc24f7ee6a48c289bd5ecc42821ce9
Autor:
Tsair‐Chuan Lin, Kainam Thomas Wong
Publikováno v:
IET Signal Processing, Vol 15, Iss 5, Pp 301-313 (2021)
Abstract This study proposes the first estimator in the open literature (to the present authors' best knowledge) to nonparametrically estimate a Hammerstein system's nonlinear static subsystem when excited by an input that is temporally self‐correl
Externí odkaz:
https://doaj.org/article/26f04b92f64f42858873758fec039b39
Autor:
Po-Liang Hsieh, Tsair-Chuan Lin, Hasan Al-Nashash, Hasan Saeed Mir, Muhammad Muaz, Kainam Thomas Wong
Publikováno v:
IEEE Sensors Journal. 22:21769-21779
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2be32abc80d840dfd4caa1d36d825e40
https://doi.org/10.1109/jsen.2022.3194699
https://doi.org/10.1109/jsen.2022.3194699
Publikováno v:
International Journal of Systems Science. 53:1503-1515
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7801e6c40005a71d55f86c5e279982d7
https://doi.org/10.1080/00207721.2021.2010833
https://doi.org/10.1080/00207721.2021.2010833
Autor:
Kainam Thomas Wong, Tsair-Chuan Lin
Publikováno v:
IET Signal Processing, Vol 15, Iss 5, Pp 301-313 (2021)
This study proposes the first estimator in the open literature (to the present authors' best knowledge) to nonparametrically estimate a Hammerstein system's nonlinear static subsystem when excited by an input that is temporally self‐correlated with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de5ada2a8392a15bd480a08943513b71
https://doaj.org/article/26f04b92f64f42858873758fec039b39
https://doaj.org/article/26f04b92f64f42858873758fec039b39
Autor:
Kainam Thomas Wong, Tsair-Chuan Lin
Publikováno v:
IET Signal Processing, Vol 15, Iss 5, Pp 291-300 (2021)
For a Hammerstein system subject to a stochastic input that is spectrally coloured, this study is first in the open literature (to the present authors' best knowledge) to estimate its linear dynamic subsystem. This estimation is achieved without any
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73ca97ce2f37ef880513a6ee5aa27179
https://doi.org/10.1049/sil2.12029
https://doi.org/10.1049/sil2.12029
Publikováno v:
J Acoust Soc Am
Cardioid microphones/hydrophones are highly directional acoustical sensors, which enjoy easy availability via numerous commercial vendors for professional use. Collocating three such cardioids in orthogonal orientation to each other, the resulting tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a47b8412f477d8f0e5dfceab0b71bc9f
https://pubmed.ncbi.nlm.nih.gov/31472531
https://pubmed.ncbi.nlm.nih.gov/31472531
Publikováno v:
The Journal of the Acoustical Society of America. 146(1)
An array's constituent sensors could be spatially dislocated from their nominal positions. This paper investigates how such sensor dislocation would degrade a uniform circular array (UCA) of isotropic sensors (like pressure sensors) in their directio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20529c59f78ad8539efba894206b719d
https://pubmed.ncbi.nlm.nih.gov/31370630
https://pubmed.ncbi.nlm.nih.gov/31370630
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 52:2038-2044
The paper analyzes how a sensor array's direction-finding accuracy may be degraded by any stochastic uncertainty in the sensors’ complex value gains, modeled here as complex value Gaussian random variables. This analysis is via the derivation of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e52e03004e65d75e84e202fe989bc817
https://doi.org/10.1109/taes.2016.150193
https://doi.org/10.1109/taes.2016.150193