Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ayano Nakai-Kasai"'
Autor:
Tadashi Wadayama, Ayano Nakai-Kasai
Publikováno v:
IEEE Access, Vol 12, Pp 118141-118153 (2024)
This study investigates a continuous-time method for sparse signal recovery, which is suitable for analog optical circuit implementation. The proposed method is defined by a nonlinear ordinary differential equation (ODE) derived from the gradient flo
Externí odkaz:
https://doaj.org/article/fc936e3462f94f9683ccfda376cf4c81
Autor:
Ayano Nakai-Kasai, Kazunori Hayashi
Publikováno v:
IEEE Access, Vol 7, Pp 47022-47033 (2019)
Diffusion least-mean-square (LMS) is an adaptive algorithm that estimates an unknown global vector from its linear measurements obtained at all nodes in a distributed manner when each node in the network needs to track the unknown vector in real-time
Externí odkaz:
https://doaj.org/article/dab75ce635dd44aa8c6963a90fffe3e1
Autor:
Toshiyuki Tanaka, Ayano Nakai-Kasai
Publikováno v:
Machine Learning. 111:1671-1694
Gaussian process regression is a flexible regression scheme but suffers from its high computational complexity regarding the inversion of a matrix with the same size as the training dataset. Aggregation method is one of the approximation techniques f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6796f1bec66e6efe5bf33b9a002d75c1
https://doi.org/10.1007/s10994-021-06101-8
https://doi.org/10.1007/s10994-021-06101-8
Autor:
Ayano Nakai-Kasai, Kazunori Hayashi
Publikováno v:
IEICE Transactions on Communications. :141-148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ec8a71f830b328a7bbbda659523b1d
https://doi.org/10.1587/transcom.2020ebt0001
https://doi.org/10.1587/transcom.2020ebt0001
Autor:
Ayano Nakai-Kasai, Tadashi Wadayama
Motivated by emerging technologies for energy efficient analog computing and continuous-time processing, this paper proposes continuous-time minimum mean squared error estimation for multiple-input multiple-output (MIMO) systems based on an ordinary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe851602ddd3efdd6cd0c74f7cb2481
Autor:
Kazunori Hayashi, Ayano Nakai-Kasai
Publikováno v:
IEEE Access, Vol 7, Pp 47022-47033 (2019)
Diffusion least-mean-square (LMS) is an adaptive algorithm that estimates an unknown global vector from its linear measurements obtained at all nodes in a distributed manner when each node in the network needs to track the unknown vector in real-time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456a73d181167047c3f500b1f11e983d
https://doi.org/10.1109/access.2019.2909775
https://doi.org/10.1109/access.2019.2909775
Publikováno v:
APSIPA Transactions on Signal and Information Processing. 9
This paper proposes signal detection methods for frequency domain equalization (FDE) based overloaded multiuser multiple input multiple output (MU-MIMO) systems for uplink Internet of things (IoT) environments, where a lot of IoT terminals are served
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::282f757c0c98d879f5c7a2165547bce4
https://doi.org/10.1017/atsip.2020.19
https://doi.org/10.1017/atsip.2020.19
Publikováno v:
APSIPA
The paper proposes low-latency signal detection methods for overloaded MU-MIMO (Multi-User Multi-Input Multi-Output) SC-CP (Single Carrier block transmission with Cyclic Prefix) using convex optimization approach for uplink IoT (Internet of Things) e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91bd1a92759d607d0ed66d090e845dfb
https://doi.org/10.1109/apsipaasc47483.2019.9023021
https://doi.org/10.1109/apsipaasc47483.2019.9023021