ICHIGE Koichi

Affiliation

Faculty of Engineering, Division of Intelligent Systems Engineering

Job Title

Professor

Date of Birth

1972

Research Fields, Keywords

Digital Signal Processing, Mobile Communication, Image Processing

Mail Address

E-mail address

Related SDGs




ORCID  https://orcid.org/0000-0001-7663-6919

Education 【 display / non-display

  •  
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    1999.3

    University of Tsukuba   Doctor Course   Completed

  •  
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    1994.3

    University of Tsukuba   Graduated

Degree 【 display / non-display

  • Doctor of Engineering - University of Tsukuba

Campus Career 【 display / non-display

  • 2019.3
     
     

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Intelligent Systems Engineering   Professor  

  • 2007.4
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    2019.2

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Intelligent Systems Engineering   Associate Professor  

  • 2003.4
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    2007.3

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Intelligent Systems Engineering   Associate Professor  

  • 2001.4
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    2003.3

    Duty   Yokohama National UniversityFaculty of Engineering   Division of Intelligent Systems Engineering   Lecturer  

  • 2001.3
     
     

    Duty   Yokohama National UniversitySchool of Engineering   Lecturer  

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External Career 【 display / non-display

  • 2001.9
    -
    2002.9

    Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland   Visiting Researcher  

Academic Society Affiliations 【 display / non-display

  • 1994.4
     
     
     

    The Institute of Electronics,Information and Communication Engineers

  • 1994.4
     
     
     

    IEEE

 

Books 【 display / non-display

  • Sparse Arrays for Radar, Sonar, and Communications

    M. G. Amin Ed.( Role: Contributor ,  (Chapter 6: Sparse Array Design for Direction Finding Using Deep Learning))

    Wiley - IEEE Press  ( ISBN:9781394191017

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    Language:English Book type:Scholarly book

  • 理工系のための解く! 電気回路2 -交流・基礎編-

    竹村泰司,濱上知樹,市毛弘一( Role: Joint author)

    講談社  ( ISBN:4062806015

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    Language:Japanese Book type:Scholarly book

  • 理工系のための解く! 電気回路1 -交流・基礎編-

    石井六哉,竹村泰司,濱上知樹,市毛弘一( Role: Joint author)

    講談社  ( ISBN:4061557769

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    Language:Japanese Book type:Scholarly book

Thesis for a degree 【 display / non-display

  • A Study on Improvements in Computational Efficiency of a Filter Design

    1999.3

    Doctoral Thesis   Single Work  

    DOI

  • Discrete B-spline Functions and Their Application to B-spline Decomposition and Reconstruction of Signals

    1994.3

    Master Thesis   Single Work  

Papers 【 display / non-display

  • Investigation of the Use of Map Images for Stochastic Path Loss Estimation Model

    HAGIWARA Rento, ICHIGE Koichi, NAGAO Tatsuya, HAYASHI Takahiro

    J107-B ( 3 )   146 - 154   2024.3

    DOI CiNii Research

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Joint Work  

    In recent years, many path loss estimation models using machine learning have been proposed, but in many cases, high generalization performance has not been achieved. In this paper, we propose a method of feature extraction from images using the Hough transform for path loss estimation to create highly accurate models. By comparing the performance of this method and the conventional method using CNN, we consider effective feature extraction methods.

  • RSSI-based indoor localization using two-step XGBoost

    Kosaka, T; Wandale, S; Ichige, K

    IEICE COMMUNICATIONS EXPRESS   12 ( 12 )   647 - 650   2023.12

    DOI Web of Science CiNii Research

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:一般社団法人 電子情報通信学会   Joint Work  

    <p>In this letter, we propose a Received Signal Strength Indicator (RSSI)-based indoor localization method using two-step extreme gradient boosting (XGBoost). The proposed two-step XGBoost leverages one of the location coordinates (<i>x</i> or <i>y</i>) as a feature to enhance the estimation accuracy. Simulation examples confirm that the proposed two-step XGBoost approach could improve the estimation accuracy while maintaining low computational complexity.</p>

  • Transformer Model Preprocessing and Loss Function Improvement for Accurate ECG Waveform Reconstruction

    ANZAI Ren, ICHIGE Koichi

    J106-B ( 11 )   756 - 759   2023.11

    DOI CiNii Research

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Joint Work  

    In this paper, we propose a method of ECG (ElectroCardioGram) signal reconstruction using a transformer, which is a kind of deep learning model. By improving the loss function and preprocessing of the transformer model, we propose a method that can reconstruct the signal even under the condition of high amplitude noise, which has been a problem in conventional methods.

  • xMISC: Improved Sparse Linear Array via Maximum Inter-Element Spacing Concept

    Steven Wandale, Koichi Ichige

    IEEE Signal Processing Letters   30   1327 - 1331   2023.9  [Reviewed]

    DOI

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    Language:English   Publishing type:Research paper (scientific journal)   Joint Work  

  • Low-Cost Learning-Based Path Loss Estimation Using Correlation Graph CNN

    Keita IMAIZUMI, Koichi ICHIGE, Tatsuya NAGAO, Takahiro HAYASHI

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E106.A ( 8 )   1072 - 1076   2023.8  [Reviewed]

    DOI

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    Language:English   Publishing type:Research paper (scientific journal)   Joint Work  

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Awards 【 display / non-display

  • Best Paper Award

    2021.10   国際会議 ISCIT 組織委員会   ECG Signal Reconstruction Using FMCW Radar and Convolutional Neural Network

    Individual or group name of awards:戸田大貴(理工学府M2),安済練(理工学府M1),市毛弘一

  • Best Paper Award

    2018.11   ISPACS 2018  

    Individual or group name of awards:Yuji Araki, Koichi Ichige

Grant-in-Aid for Scientific Research 【 display / non-display

  • スパースアレーによる拡張アレー信号処理とその高精度センシング応用

    2020.4 - 2023.3

    科学研究費補助金  Grant-in-Aid for Scientific Research(C)

    Investigator(s):市毛弘一

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    Grant type:Competitive

  • スパース信号表現に基づいた高速移動体追跡技術とそのスポーツ競技戦略分析への応用

    2016.4 - 2019.3

    科学研究費補助金  Grant-in-Aid for Scientific Research(C)

    Investigator(s):市毛弘一

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    Grant type:Competitive

  • マイクロセル環境下での3次元構造マルチアンテナシステムの開発

    2013.4 - 2016.3

    科学研究費補助金  Grant-in-Aid for Scientific Research(C)

    Investigator(s):市毛弘一

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    Grant type:Competitive

Other external funds procured 【 display / non-display

  • スパースアレーと機械学習の融合による電波伝搬環境推定の新たな展開

    2023.7 - 2024.3

    Ministry of Public Management, Home Affairs, Posts and Telecommunications  戦略的情報通信研究開発推進事業(SCOPE)

Presentations 【 display / non-display

  • Extended beamforming by sum and difference composite co-array for radio surveillance

    Sho Iwazaki, Koichi Ichige

    2017 IEEE Workshop on Information Forensics and Security (WIFS)  IEEE

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    Event date: 2017.12

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Rennes, France  

    DOI: 10.1109/APUSNCURSINRSM.2017.8072623

  • Underdetermined DOA estimation in the presence of mutual coupling for sparse circular array

    Thomas Basikolo, Koichi Ichige, Hiroyuki Arai

    2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting  IEEE

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    Event date: 2017.10

    Language:English   Presentation type:Oral presentation (general)  

    Venue:San Diego, CA, USA  

    DOI: 10.1109/APUSNCURSINRSM.2017.8072623

  • Multi-sensor Indoor Target Localization Based on Multipath Exploitation

    N. Arakawa, K. Ichige

    International Conference on Indoor Positioning and Indoor Navigation 

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    Event date: 2017.9

    Language:English   Presentation type:Oral presentation (general)  

  • Accurate RSSI-Based Indoor Localization Using Time-Domain Path Loss Compensation

    R. Saito, K. Ichige, T. Ishihara, A. Nakazawa

    International Conference on Indoor Positioning and Indoor Navigation, no. 207 

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    Event date: 2017.9

    Language:English   Presentation type:Oral presentation (general)  

  • An Efficient Direction-Of-Arrival Estimation Method Based on Weighted Sparse Spectrum Fitting

    Koichi Ichige

    Signal Processing with Adaptive Sparse Structured Representations Workshop 

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    Event date: 2017.6

    Language:English   Presentation type:Oral presentation (general)  

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Charge of on-campus class subject 【 display / non-display

  • 2024   Inside Digital Media Ⅱ

    Interfaculty Graduate School of Innovative and Practical Studies

  • 2024   Inside Digital Media Ⅰ

    Interfaculty Graduate School of Innovative and Practical Studies

  • 2024   Practical System Design

    Graduate school of Engineering Science

  • 2024   Advanced Digital Circuit Theory

    Graduate school of Engineering Science

  • 2024   Advanced electromagnetic wave design F

    Graduate school of Engineering Science

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Committee Memberships 【 display / non-display

  • 電子情報通信学会信号処理研究専門委員会

    2022.6  副委員長

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    Committee type:Academic society 

  • 電子情報通信学会英文論文誌A

    2019.6 - 2021.5  編集幹事

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    Committee type:Academic society 

  • 国際会議ISAP2020

    2017.7 - 2021.2  論文委員会副委員長

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    Committee type:Academic society 

  • 国際会議ISCAS2019

    2015.2 - 2020.5  財務委員長

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    Committee type:Academic society 

  • 電子情報通信学会英文論文誌A

    2015.1 - 2018.5  編集委員

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    Committee type:Academic society