| Block-sparse recovery with optimal block partition H Kuroda, D Kitahara IEEE Transactions on Signal Processing 70, 1506-1520, 2022 | 20 | 2022 |
| 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 | 10 | 2022 |
| 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 | 10 | 2018 |
| 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 | 8 | 2021 |
| 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 | 7 | 2021 |
| 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 | 7 | 2013 |
| 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| 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 | 3 | 2017 |
| Graph-structured sparse regularization via convex optimization H Kuroda, D Kitahara ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 2 | 2022 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| Sharpening Minimization Induced Penalties H Kuroda Authorea Preprints, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Piecewise Linear Regression under Noise Level Variation via Convex Optimization H Kuroda, J Ogata 2020 28th European Signal Processing Conference (EUSIPCO), 2259-2263, 2021 | 1 | 2021 |
| 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 | 1 | 2018 |
| 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 | 1 | 2016 |
| 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 | 1 | 2014 |
| A Convex-Nonconvex Framework for Enhancing Minimization Induced Penalties H Kuroda arXiv preprint arXiv:2407.14819, 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 AGU Fall Meeting Abstracts 2023 (414), S31G-0414, 2023 | | 2023 |
Daichi KitaharaOsaka UniversityBestätigte E-Mail-Adresse bei eei.eng.osaka-u.ac.jp
