Eiichi Yoshikawa

28 papers C 7Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Coherent Doppler Lidar (CDL) for Measuring Wind with Transmission of Frequency-Modulated Pulse or Continuous Wave. IGARSS Eiichi Yoshikawa, V. Chandrasekar, Makoto Aoki, Hironori Iwai, Tomoo Ushio, Shoken Ishii
2024	J	`jnl`	Mitigation of Ground-Clutter Effects by Digital Beamforming With Precomputed Weighting Matrix for Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. Yuuki Wada, Yutaka Takata, Hiroshi Kikuchi, Daichi Kitahara, Eiichi Yoshikawa, Shigeharu Shimamura, Tomoo Ushio
2024	J	`jnl`	Phase and Amplitude Correction for Adaptive Beamforming of Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. Yuuki Wada, Hiroshi Kikuchi, Eiichi Yoshikawa, Daichi Kitahara, Tomoo Ushio
2023	J	`jnl`	Convex Estimation of Sparse-Smooth Power Spectral Densities From Mixtures of Realizations With Application to Weather Radar. IEEE Access Hiroki Kuroda, Daichi Kitahara, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
2023	J	`jnl`	Performance Simulation Theory of Low-Level Wind Shear Detections Using an Airborne Coherent Doppler Lidar Based on RTCA DO-220. IEEE Trans. Geosci. Remote. Sens. Shumpei Kameyama, Masashi Furuta, Eiichi Yoshikawa
2023	Misc	`conf`	Sparsity-Smoothness-Aware Power Spectral Density Estimation with Application to Phased Array Weather Radar. ICASSP Hiroki Kuroda, Daichi Kitahara, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
2023	J	`jnl`	Theoretical Performance of Airborne Coherent Doppler Lidar for Turbulence Detection Using Spectral Width Estimation of Heterodyne-Detected Signal. IEEE Trans. Geosci. Remote. Sens. Shumpei Kameyama, Masashi Furuta, Eiichi Yoshikawa
2022	J	`jnl`	An Estimator for Weather Radar Doppler Power Spectrum via Minimum Mean Square Error. IEEE Trans. Geosci. Remote. Sens. Eiichi Yoshikawa, Naoya Takizawa, Hiroshi Kikuchi, Tomoaki Mega, Tomoo Ushio
2022	J	`jnl`	Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. Daichi Kitahara, Hiroki Kuroda, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
2021	J	`jnl`	A Study of Comb Beam Transmission on Phased Array Weather Radars. IEEE Trans. Geosci. Remote. Sens. Eiichi Yoshikawa, Tomoo Ushio, Hiroshi Kikuchi
2021	J	`jnl`	Adaptive Beamforming Using Steering Vector Correction for Phased-Array Weather Radar. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hiroshi Kikuchi, Eiichi Yoshikawa, Tomoo Ushio, Yasuhide Hobara
2020	J	`jnl`	Clutter Reduction for Phased-Array Weather Radar Using Diagonal Capon Beamforming With Neural Networks. IEEE Geosci. Remote. Sens. Lett. Hiroshi Kikuchi, Eiichi Yoshikawa, Tomoo Ushio, Yasuhide Hobara
2018	J	`jnl`	Fast-Scanning Phased-Array Weather Radar With Angular Imaging Technique. IEEE Trans. Geosci. Remote. Sens. Fumihiko Mizutani, Tomoo Ushio, Eiichi Yoshikawa, Shigeharu Shimamura, Hiroshi Kikuchi, Masakazu Wada, Shinsuke Satoh, Toshio Iguchi
2018	—	`conf`	Nonlinear Beamforming via Convex Optimization for Phased Array Weather Radar. APSIPA Daichi Kitahara, Maya Nakahara, Akira Hirabayashi, Eiichi Yoshikawa, Hiroshi Kikuchi, Tomoo Ushio
2017	J	`jnl`	Adaptive Pulse Compression Technique for X-Band Phased Array Weather Radar. IEEE Geosci. Remote. Sens. Lett. Hiroshi Kikuchi, Eiichi Yoshikawa, Tomoo Ushio, Fumihiko Mizutani, Masakazu Wada
2017	J	`jnl`	Application of Adaptive Digital Beamforming to Osaka University Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. Hiroshi Kikuchi, Eiichi Yoshikawa, Tomoo Ushio, Fumihiko Mizutani, Masakazu Wada
2017	C	`conf`	Multi-Doppler processing for accurate estimation of updraft at low altitudes. IGARSS Eiichi Yoshikawa, Tomoo Ushio, V. Chandrasekar
2017	J	`jnl`	Performance of Minimum Mean-Square Error Beam Forming for Polarimetric Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. Hiroshi Kikuchi, Ting Wu, Eiichi Yoshikawa, Tomoo Ushio, Hideto Goto, Fumihiko Mizutani, Masakazu Wada, V. Chandrasekar
2016	J	`jnl`	Probabilistic Attenuation Correction in a Networked Radar Environment. IEEE Trans. Geosci. Remote. Sens. Shigeharu Shimamura, V. Chandrasekar, Tomoo Ushio, Gwan Kim, Eiichi Yoshikawa, Haonan Chen
2016	C	`conf`	Probabilistic attenuation correction in dual-pol radar network. IGARSS Shigeharu Shimamura, Tomoo Ushio, Gwan Kim, Eiichi Yoshikawa, V. Chandrasekar
2013	J	`jnl`	MMSE Beam Forming on Fast-Scanning Phased Array Weather Radar. IEEE Trans. Geosci. Remote. Sens. Eiichi Yoshikawa, Tomoo Ushio, Zen Kawasaki, Satoru Yoshida, Takeshi Morimoto, Fumihiko Mizutani, Masakazu Wada
2012	C	`conf`	Bayesian formulation of DSD retrieval algorithm for dual-polarized X-band weather radar network. IGARSS Eiichi Yoshikawa, V. Chandrasekar, Tomoo Ushio, Zen Kawasaki
2012	C	`conf`	Latest observation results of the Ku-band broadband radar (BBR) network project. IGARSS Tomoo Ushio, Eiichi Yoshikawa, Shigeharu Shimamura, Zen Kawasaki, Naoki Matayoshi
2012	C	`conf`	Raindrop size distribution (DSD) retrieval for X-band dual-polarization radar. IGARSS Eiichi Yoshikawa, V. Chandrasekar, Tomoo Ushio, Zen Kawasaki
2011	C	`conf`	Initial observation results for precipitation on the Ku-band broadband radar network. IGARSS Eiichi Yoshikawa, Satoru Yoshida, Takeshi Morimoto, Tomoo Ushio, Zen Kawasaki, Tomoaki Mega
2010	J	`jnl`	Development and Initial Observation of High-Resolution Volume-Scanning Radar for Meteorological Application. IEEE Trans. Geosci. Remote. Sens. Eiichi Yoshikawa, Tomoo Ushio, Zen Kawasaki, Tomoaki Mega, Satoru Yoshida, Takeshi Morimoto, Katsuyuki Imai, Shin'ichiro Nagayama
2009	J	`jnl`	Real-Time Spectral Moments Estimation and Ground Clutter Suppression for Precipitation Radar with High Resolution. IEICE Trans. Commun. Eiichi Yoshikawa, Tomoaki Mega, Takeshi Morimoto, Tomoo Ushio, Zen Kawasaki
2008	—	`conf`	Development and Observation of the Ku-band Broad-Band Radar for Meteorological Application. IGARSS (5) Eiichi Yoshikawa, Tomoaki Mega, Takeshi Morimoto, Tomoo Ushio, Zen Kawasaki

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.