Hiroki Kuroda

According to our database, Hiroki Kuroda authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Human pulse wave detection with consumer earphones and headphones.

Xing Yi, Samith S. Herath, Hiroshi Ogawa, Hiroki Kuroda, Kosuke Oiwa, Shusaku Nomura

Artif. Life Robotics, February, 2024

Sharpening Minimization Induced Penalties.

Hiroki Kuroda

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Modal Interval Regression Based on Spline Quantile Regression.

Sai Yao, Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., February, 2023

Convex Estimation of Sparse-Smooth Power Spectral Densities From Mixtures of Realizations With Application to Weather Radar.

Hiroki Kuroda, Daichi Kitahara, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio

IEEE Access, 2023

Sparsity-Smoothness-Aware Power Spectral Density Estimation with Application to Phased Array Weather Radar.

Hiroki Kuroda, Daichi Kitahara, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Block-Sparse Recovery With Optimal Block Partition.

Hiroki Kuroda, Daichi Kitahara

IEEE Trans. Signal Process., 2022

Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar.

Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio

IEEE Trans. Geosci. Remote. Sens., 2022

Image Super-Resolution via Generative Adversarial Networks Using Metric Projections onto Consistent Sets for Low-Resolution Inputs.

Hiroya Yamamoto, Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022

Graph-Structured Sparse Regularization Via Convex Optimization.

Hiroki Kuroda, Daichi Kitahara

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Convex Penalty for Block-Sparse Signals with Unknown Structures.

Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi

Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Contrast CSMRI Using Common Edge Structures with LiGME Model.

Daichi Kitahara, Rikako Kato, Hiroki Kuroda, Akira Hirabayashi

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Piecewise Linear Regression under Noise Level Variation via Convex Optimization.

Hiroki Kuroda, Jun Ogata

Proceedings of the 28th European Signal Processing Conference, 2020

Deep Neural Network Modeling of Distortion Stomp Box Using Spectral Features.

Kento Yoshimoto, Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020

2019

Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces.

Hiroki Kuroda, Masao Yamagishi, Isao Yamada

Proceedings of the 27th European Signal Processing Conference, 2019

Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces.

Hiroki Kuroda, Masao Yamagishi, Isao Yamada

Proceedings of the 2019 American Control Conference, 2019

2018

Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery.

Hiroki Kuroda, Masao Yamagishi, Isao Yamada

IEEE Trans. Signal Process., 2018

Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems.

Hiroki Kuroda, Masao Yamagishi, Isao Yamada

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016

Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization.

Hiroki Kuroda, Masao Yamagishi, Isao Yamada

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

2014

Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation.

Hiroki Kuroda, Masao Yamagishi, Isao Yamada

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting.

Hiroki Kuroda, Shunsuke Ono, Masao Yamagishi, Isao Yamada

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013