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
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YAHAGI Takashi
The authors are with the Graduate School of Science and Technology, Chiba University
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Yahagi Takashi
The Authors Are With The Graduate School Of Science And Technology Chiba University
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YAHAGI Takashi
Graduate School of Science and Technology, Chiba University
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Yahagi T
Graduate School Of Science And Technology Chiba University
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LU Jianming
The authors are with the Graduate School of Science and Technology, Chiba University
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Lin H
Mobile Terminals Core Technology Development Division Nec Corporation
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Wang Xiaoqiu
Graduate School Of Science And Technology Chiba University
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LIN Hua
The authors are with the Graduate School of Science and Technology, Chiba University
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WANG Xiaoqiu
The authors are with the Graduate School of Science and Technology, Chiba University
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LU Jianming
Graduate School of Science and Technology, Chiba University
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Lu Jianming
Graduate School Of Science And Technology Chiba University
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Rahim N
Chiba Univ. Chiba‐shi Jpn
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PHUAH Jiunshian
Graduate School of Science and Technology, Chiba University
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PHUAH Jiunshian
The authors are with the Graduate School of Science and Technology, Chiba University
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Abdelrahim E
The Authors Are With The Graduate School Of Science And Technology Chiba University
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Phuah Jiunshian
Graduate School Of Science And Technology Chiba University
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ABDELRAHIM Elsaid
The authors are with the Graduate School of Science and Technology, Chiba University
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RAHIM Newaz
The authors are with the Graduate School of Science and Technology, Chiba University
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