Folgen
Hiroki Kuroda
Hiroki Kuroda
Bestätigte E-Mail-Adresse bei vos.nagaokaut.ac.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Block-sparse recovery with optimal block partition
H Kuroda, D Kitahara
IEEE Transactions on Signal Processing 70, 1506-1520, 2022
262022
Multi-contrast CSMRI using common edge structures with LiGME model
D Kitahara, R Kato, H Kuroda, A Hirabayashi
2021 29th European Signal Processing Conference (EUSIPCO), 2119-2123, 2021
162021
Exploiting sparsity in tight-dimensional spaces for piecewise continuous signal recovery
H Kuroda, M Yamagishi, I Yamada
IEEE Transactions on Signal Processing 66 (24), 6363-6376, 2018
92018
Nonlinear beamforming based on group-sparsities of periodograms for phased array weather radar
D Kitahara, H Kuroda, A Hirabayashi, E Yoshikawa, H Kikuchi, T Ushio
IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022
82022
Exploiting group sparsity in nonlinear acoustic echo cancellation by adaptive proximal forward-backward splitting
H Kuroda, S Ono, M Yamagishi, I Yamada
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2013
72013
A convex penalty for block-sparse signals with unknown structures
H Kuroda, D Kitahara, A Hirabayashi
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
Convex estimation of sparse-smooth power spectral densities from mixtures of realizations with application to weather radar
H Kuroda, D Kitahara, E Yoshikawa, H Kikuchi, T Ushio
IEEE Access 11, 128859-128874, 2023
32023
Recovery of piecewise finite-dimensional continuous signals by exploiting sparsity
H Kuroda, M Yamagishi, I Yamada
2017 International Conference on Sampling Theory and Applications (SampTA …, 2017
32017
Graph-structured sparse regularization via convex optimization
H Kuroda, D Kitahara
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
22022
Deep neural network modeling of distortion stomp box using spectral features
K Yoshimoto, H Kuroda, D Kitahara, A Hirabayashi
2020 Asia-Pacific Signal and Information Processing Association Annual …, 2020
22020
Segmentation of piecewise ARX processes by exploiting sparsity in tight-dimensional spaces
H Kuroda, M Yamagishi, I Yamada
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
22019
Sparsity-smoothness-aware power spectral density estimation with application to phased array weather radar
H Kuroda, D Kitahara, E Yoshikawa, H Kikuchi, T Ushio
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Modal interval regression based on spline quantile regression
S Yao, D Kitahara, H Kuroda, A Hirabayashi
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2023
12023
Piecewise Linear Regression under Noise Level Variation via Convex Optimization
H Kuroda, J Ogata
2020 28th European Signal Processing Conference (EUSIPCO), 2259-2263, 2021
12021
Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems
H Kuroda, M Yamagishi, I Yamada
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
12018
Nonlinear acoustic echo cancellation by exact-online adaptive alternating minimization
H Kuroda, M Yamagishi, I Yamada
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and …, 2016
12016
Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation
H Kuroda, M Yamagishi, I Yamada
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
12014
Sharpening Minimization Induced Penalties
H Kuroda
Technology, 2024
2024
Convolutional Neural Network-based Automatic Detection of Later Phase in S coda
Y Amezawa, T Uchide, T Shiina, J Ogata, S Fukayama, H Kuroda
AGU23, 2023
2023
Image Super-Resolution via Generative Adversarial Networks Using Metric Projections onto Consistent Sets for Low-Resolution Inputs
H Yamamoto, D Kitahara, H Kuroda, A Hirabayashi
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2022
2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20