Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Masahiro Yukawa"'
Autor:
Masa-Aki Takizawa, Masahiro Yukawa
Publikováno v:
IEEE Access, Vol 9, Pp 24026-24040 (2021)
We propose a novel online algorithm for efficient nonlinear estimation. Target nonlinear functions are approximated with “unfixed”Gaussians of which the parameters are regarded as (a part of) variables. The Gaussian parameters (scales and centers
Externí odkaz:
https://doaj.org/article/45ff30ffe6e640b8b9642cfcb60ca9ce
Autor:
Masahiro Yukawa, Isao Yamada
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
We present a unified analytic tool named variable-metric adaptive projected subgradient method (V-APSM) that encompasses the important family of adaptive variable-metric projection algorithms. The family includes the transform-domain adaptive filter,
Externí odkaz:
https://doaj.org/article/0bb67a625fee4972aac287a3e1e66132
Publikováno v:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb7f382a997c6c10259c0a3478ea74f3
https://doi.org/10.23919/apsipaasc55919.2022.9980067
https://doi.org/10.23919/apsipaasc55919.2022.9980067
Autor:
Masahiro Yukawa, Kwangjin Jeong
Publikováno v:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. :927-939
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e804e453c147cd17e78e5c0cfe3d7d
https://doi.org/10.1587/transfun.2020eap1080
https://doi.org/10.1587/transfun.2020eap1080
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::534edeb146a8cecdbe842891a35457cd
https://doi.org/10.23919/eusipco55093.2022.9909571
https://doi.org/10.23919/eusipco55093.2022.9909571
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b05f0fd69c2ccbb484fb1a3c3c05c1e
https://doi.org/10.23919/eusipco55093.2022.9909755
https://doi.org/10.23919/eusipco55093.2022.9909755
Autor:
Tatsuya Koyakumaru, Masahiro Yukawa
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d488ad136922f2159a58a8d6b297e78b
https://doi.org/10.23919/eusipco55093.2022.9909870
https://doi.org/10.23919/eusipco55093.2022.9909870
Autor:
Kyohei Suzuki, Masahiro Yukawa
Publikováno v:
2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b14d516df44c00c5bb499bfad48de6d
https://doi.org/10.1109/mlsp55214.2022.9943515
https://doi.org/10.1109/mlsp55214.2022.9943515
Autor:
Kyohei Suzuki, Masahiro Yukawa
Publikováno v:
2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d460605f56210215db8b017bf4b28e9
https://doi.org/10.1109/mlsp55214.2022.9943378
https://doi.org/10.1109/mlsp55214.2022.9943378
Autor:
Kyohei Suzuki, Masahiro Yukawa
Publikováno v:
IEEE Transactions on Signal Processing. 69:669-681
We propose a robust approach to recovering jointly sparse signals in the presence of outliers. The robust recovery task is cast as a convex optimization problem involving a minimax concave loss function (which is weakly convex) and a strongly convex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82cf098bae39fa999bfb0e18a2de3ce9
https://doi.org/10.1109/tsp.2020.3044445
https://doi.org/10.1109/tsp.2020.3044445