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Tetsuya Shimamura
Also published under:T. Shimamura
Affiliation
Graduate School of Science and Engineering, Saitama University, Saitama, Japan
Topic
Convolutional Neural Network,Mean Square Error,Unmanned Aerial Vehicles,Bit Error,Bit Error Rate,Blind Equalization,Channel State,Computer Simulations,Error Signal,Minimum Mean Square Error,Orthogonal Frequency Division Multiplexing,Power Ratio,Wireless Sensor Networks,Additive Noise,Attention Module,Average Mean Square,Bit Error Rate Performance,Color Images,Computation Time,Denoising,Digital Modulation,Discrete Fourier Transform,Forward Error Correction,Generative Adversarial Networks,Ground Users,Image Quality,Noise Variance,Sensor Networks,Signal Detection,Simulation Results,Transmission Channel,Underwater Image,Active Control,Autonomous Underwater Vehicles,Average Error Rate,Base Station,Benchmark Datasets,Binary Data,Block Size,Color Correction,Color Distortion,Combined Weight,Control Signal,Convergence Rate,Convolutional Layers,Convolutional Neural Network Model,Current Status,Data Augmentation,Deep Learning,Deep Learning Models,
Biography
Tetsuya Shimamura (Senior Member,
IEEE) received the B.Eng., M.Eng., and Ph.D. degrees in electrical engineering
from Keio University, Yokohama, Japan, in 1986, 1988, and 1991, respectively. In
1991, he joined Saitama University, Saitama, Japan, as a Faculty Member, where
he is currently a Professor. He was a Visiting Scholar with Loughborough
University, U.K., in 1995, and Queen’s University Belfast, U.K., in 1996.
He is the author and coauthor of six books. His research interests include
digital signal processing and its applications to speech, image, and
communications systems. He is a member of the organizing and program committees
of various international conferences. He serves on the editorial boards of
several international journals.