Yahagi Takashi | The Authors Are With The Graduate School Of Science And Technology Chiba University

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概要

• YAHAGI Takashiの詳細を見る
• 同名の論文著者
• The Authors Are With The Graduate School Of Science And Technology Chiba Universityの論文著者

関連著者

• YAHAGI Takashi

  The authors are with the Graduate School of Science and Technology, Chiba University

• Yahagi Takashi

  The Authors Are With The Graduate School Of Science And Technology Chiba University

• YAHAGI Takashi

  Graduate School of Science and Technology, Chiba University

• Yahagi T

  Graduate School Of Science And Technology Chiba University

• LU Jianming

  The authors are with the Graduate School of Science and Technology, Chiba University

• Lin H

  Mobile Terminals Core Technology Development Division Nec Corporation

• Wang Xiaoqiu

  Graduate School Of Science And Technology Chiba University

• LIN Hua

  The authors are with the Graduate School of Science and Technology, Chiba University

• WANG Xiaoqiu

  The authors are with the Graduate School of Science and Technology, Chiba University

• LU Jianming

  Graduate School of Science and Technology, Chiba University

• Lu Jianming

  Graduate School Of Science And Technology Chiba University

• Rahim N

  Chiba Univ. Chiba‐shi Jpn

• PHUAH Jiunshian

  Graduate School of Science and Technology, Chiba University

• PHUAH Jiunshian

  The authors are with the Graduate School of Science and Technology, Chiba University

• Abdelrahim E

  The Authors Are With The Graduate School Of Science And Technology Chiba University

• Phuah Jiunshian

  Graduate School Of Science And Technology Chiba University

• ABDELRAHIM Elsaid

  The authors are with the Graduate School of Science and Technology, Chiba University

• RAHIM Newaz

  The authors are with the Graduate School of Science and Technology, Chiba University

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著作論文

• A Stop Criterion for Turbo Code to Reduce Decoding Iterations
• Detection of Nonlinearly Distorted M-ary QAM Signals Using Self-Organizing Map
• Multi-Input Single-Output Nonlinear Adaptive Digital Filters Using Recurrent Neural Networks
• A Method of Model Reference Adaptive Control for MIMO Nonlinear Systems Using Neural Networks
• A New Transformed Input-Domain ANFIS for Highly Nonlinear System Modeling and Prediction
• Image Compression by New Sub-Image Block Classification Techniques Using Neural Networks

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