GOTANDA Hiromu

J-GLOBAL         Last updated: May 18, 2016 at 02:46
 
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Name
GOTANDA Hiromu
Affiliation
Kindai University
Section
Faculty of Humanity-Oriented Science and Engineering Department of Electrical and Communication Engineering
Job title
Professor
Degree
Doctor of Engineering(Kyushu University), Master of Engineering(Kyushu University)

Research Areas

 
 

Academic & Professional Experience

 
1981
 - 
1983
Kinki University, Lecturer
 
1984
 - 
1997
Kinki University, Associate Professor
 
1998
   
 
-   Kinki University, Professor
 
1986
 - 
1987
University of California,
 
 
   
 
      Berkeley Research Associate
 

Education

 
 
 - 
1981
Graduate School, Division of Engineering, Kyushu University
 
 
 - 
1973
Faculty of Engineering, Kyushu Institute of Technology
 

Published Papers

 
BLIND CHANNEL ESTIMATION FOR QAM-OFDM WITHOUT PHASE AMBIGUITY
GOTANDA Hiromu
ICIC Express Letters, Part B: Applications   6(3) 627-635   Mar 2015   [Refereed]
BLIND SOURCE SEPARATION USING FRAME-WISE DOA ESTIMATES BASED ON DUET
GOTANDA Hiromu
ICIC Express Letters, Part B: Applications   6(3) 877-886   Mar 2015   [Refereed][Invited]
GOTANDA Hiromu
Trans. ISCIE   27(12) 493-500   Dec 2014   [Refereed]
Studies on real time DOA estimation based on DUET
GOTANDA Hiromu
ICIC Express Letters, Part B: Applications   5(2) 377-386   Apr 2014   [Refereed]
GOTANDA Hiromu
Journal of Signal Processing   18(2) 77-88   Mar 2014   [Refereed]
Semi-Blind Channel Estimation for QAM-OFDM System
The 45th ISCIE International Symposium on Stochastic Systems Theory and Its Applications   SB2-4    Nov 2013
Studies on Real Time DOA Estimation Based on DUET
International Conference on Innovative Computing, Information and Control   5(2)    Sep 2013
Educational simulators for understanding OFDM principles
(14) 28-36   Jul 2011
Blind Carrier Frequency Offset and Channel Estimation Using ICA in QAM-OFDM Systems
Proc. of IEEE Region 10 Conference(TENCON2010)   1330-1335   Nov 2010
Takeshi KOYA, Nobuo IWASAKI, Takaaki ISHIBASHI, Go HIRANO, Hiroshi SHIRATSUCHI, Hiromu GOTANDA
Journal of Advanced Computational Intelligence and Intelligent Informatics   14(4) 364-374   2010
Estimation for the Number of Sources in Blind Source Separation of Instantaneous Model
2009 RISP International Workshop on Nonlinear Circuits and Signal Processing   101-104   2010
Frequency Domain Independent Component Analysis Without Permutation and Scale Indeterminacy
The 41st ISCIE International Symposium on Stochastic Systems Theory and Its Applications      Oct 2009
Fundamental Approaches of Blind Source Separation and Its Application
GOTANDA Hiromu
Trans. ISCIE   22(8) 287-294   2009   [Refereed][Invited]
Effects of intializaton on rule extraction in structural learning
GOTANDA Hiromu
Journal of Advanced Computational Intelligence and Intelligent Informatics   12(1) 57-62   2004   [Refereed]

Misc

 
Blind Source Separation Under a Dynamic Acoustic Environment
T. Ishibashi, H. Nakashima, K. Inoue and H. Gotanda
Proc. the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications   318-324   2008
Studies on Estimation of the Number of Sources in Blind Source Separation
T. Ishibashi, N. Nakashima and H. Gotanda
Interspeech 2008   163-166   2008
A blind channel estimation under inter-carrier interference in QAM-OFDM
Vithaya SAYVISITH, Tetsuya KIMURA, Fuminari NAKAGAWA, Hiroshi SHIRATSUCHI, Naomi HARATANI, Hiromu GOTANDA
Proc. the 40th ISCIE International Symposium on Stochastic Systems Theory and Its Applications   204-209   2008
Effects of intializaton on rule extraction in structural learning
H. Shiratsuti, H. Gotanda, K. Inoue, K. Kumamaru
Journal of Advanced Computational Intelligence and Intelligent Informatics   12(1) 57-62   2008
Separation Performance of ICA Algorithms Dependent on the Source Number
T. Ishibashi, S.Tamatsuka, M.Sugahara, K. Inoue, H. Gotanda and K. Kumamaru
,'' Proceedings of the 38th ISCIE International Symposium on Stochastic Systems Theory and Its Applications      2006
T. Ishibashi, K. Inoue, H. Gotanda and K. Kumamaru “
SICE-ICASE International Joint Conference 2006   5169-5174   2006
Estimation of the Number of Unknown Source Signals and Its Application to EEG Analysis
T. Ishibashi, M.Sugahara, S.Tamatsuka, K. Inoue, H. Gotanda and K. Kumamaru
Proceedings of the 38th ISCIE International Symposium on Stochastic Systems Theory and Its Applications      2006
Studies on permutation problem in FDICA
Ishibashi, Inoue, Gotanda and Kumamaru
SICE Annual Conference 2005   1754-1759   2005
Properties of acoustic transfer function in real environment and their application to ICA
T. Ishibashi, K. Inoue, H. Gotanda and K. Kumamaru
Proceedings of the 37th ISCIE International Symposium on Stochastic Systems Theory and Its Applications   246-251   2005
Blind source separation without permutation and scaling indeterminacy
SICE Annual Conference 2004   2298-2301   Nov 2004
Studies on Effects of Initialization on Structure Formation and Generalization of Structural Learning with Forgetting
H. Shiratsuti, H. Gotanda, K. Inoue, K. Kumamaru
Journal of Advanced Computational Intelligence and Intelligent Informatics   8(6) 621-626   2004
Separability Conditions for Multilayer Nets Having Solutions and Convergent Superiority of Bipolar Nets
H. Shiratsuti, H. Gotanda, K. Inoue, K. Kumamaru
Journal of Advanced Computational Intelligence and Intelligent Informatics   8(6) 627-632   2004
Noise Reduction Using Locational Information on Target Sound Source
K. Nobu, T. Koya, K. Kaneda, N. Haratani and H. Gotanda
Journal of Robotics and Mechatronics   15(1) 15-23   2003
Nonlinear Friction Compensator Design for Mechatronics Servo Sysytems Using Neural Network
Trans. Control, Automation, Systems Engineering, KOREA   Vol. 3, No. 2, pp.111-116    2001
Effects of initialization on Structure Formation and Generalization of Neural Networks
CD-ROM: Proc.IJCNN2001(International Joint Conference on Neural Networks   pp.1-6    2001
A study on initialization for Structural Learning with Forgetting
Tech. Report of IEICE   NC99(59) 39-45   2000
Studies on Initialization for Multilayer Networks
Proc. IFAC 12th symp. on System Identification   pp.1-6    2000
Nonlinear Friction Compensation For High Precision Control in Mechatronic Servo System using Artificial Neural Network
ISIM2000   DIS-I15, pp.1-6    2000
Recognition of Similar Patterns by Multi layer Nets and Detection of Rotated Angle and Scale Ratio
Journal of Robotics and Mechatronics   11(6) 495-501   1999
Trans of the Institute of Systems, Control and Information Engineers   11(8) 426-433   1998
A Study on Intialization for BP Networks
Proc. 5th Internationd Conference on Neural Information Processing   3 1595-1599   1998
Trans of the Institute of Systems, Control and Information Engineers   11(4) 28-35   1998
Initialization for multilayer nets based on geometrical approach
Technical Report of IEICE   NC96(172) 131-137   1997
Input Set Separability and Superiority of Bipolar Nets in Convergence
Technical Report of IEICE   NC97(53) 67-74   1997
Learning and recognition of translated, rotated and scaled patterns by multilarer nets
Technical Report of IEICE   NC96(148) 271-278   1997
Necessary conditions for Multilayer nets having solutions and convergent superiority of bipolar nets.
IFAC 11th Symp. On System identification   2 817-822   1997
Difference of Solution Regions due to Net's Polarity
Journal of Robotics and Mechatronics   9(5) 393-397   1997
Studies on Cardinality of Solutions for Multilayer Nets and a Scaling Method in Hardware Implementation
Jouranal Robotics and Mechatronics   9(5) 398-405   1997
Difference of solution regions due to net's polarity
Trans. of the Institute of Electronics, Information and Communication Engineers D-II   J80(2) 696-699   1997
Studies on cardinality of solutions for multilayer nets and a scaling method in hardware implementations
Trans of Information Processing Society of Japan   37(8) 1535-1542   1996
Effects on back propagation learning by unit's polarity
Systems and Computers in Japan   27(14) 55-67   1996
Solution space and BP learning behaviour of multilayer networks whose units are different in polarity
Journal of Robotics and Mechatronics   7(4) 336-343   1995
A Learning algorithm minimizing errors at output units
Reports of the faculty of Engineering, Kinki University in Kyushu   24 39-44   1995
Effects on Back Propagation Learning by Unit's Polarity
The Transactions of the Institute of Electronics,Information and Communication Engineers D-II   J78(9) 1372.1382   1995
Network configuration equivalent in convergence behavior from a viewpoint of units polarity
Technical Report of IEICE   NC94(96) 159-166   1995
Relations between sigmoid function's polarity and convergence in back propagation learning
Technical Report of IEICE   NC93(115) 25-32   1994
Initialization of back propagation algorithms for multilayer neural networks
Proc. of 10th IFAC symp. on System Identification   (3) 471-476   1994
Effects on back propagation learning due to presentation frequency of positive and negative examples
Reports of the faculty of engineering, Kinki University in Kyushu   (23) 13-20   1994
Effects on BP learning due to presentation frequency of positive and negative examples
Technical Report of IEICE   NC93(132) 153-160   1994
An initialization of error back propagation algorithms.
Reports of the faculty of engineering, Kinki University in Kyushu   22,11-24    1993
Multi-layered neural networks as adaptive hypothesis test and their systematic initialization
Int. Symp. on Neural Information Processing   102-105   1992
On the initial mapping and the learning convergency of multi-layered neural networks.
Reports of the faculty of engineering Kinki University in Kyushu   21,29-38    1992
Systematic Initialization Considering Layered Structure of Neural Networks.
NC91(25)    1991
Error Back-Propagation Learning in terms of Optimization
NC91(24)    1991
Neural Networks Self-Adapting to Learning State
NC91(46)    1991
Study on Initial Mapping of Multi-Layered Neural Networks
NC91(16)    1991
Study on Learning Coefficients of Error Back-Propagation Learning
SC91(19)    1991
Study on Initial Value Setting of Back-Propagation Learning
NC90(72)    1991
Study on Intital Value Setting of Multi-Layered Neural Networks from Hypothesis Test and Mapping Points of views
20    1991
A unified approach to determination of process and noise orders
Proc. of 7th IFAC Symp. on System Identification   1 805-810   1985

Conference Activities & Talks

 
Concentration estimation of mixed substances from the response pattern of taste sensor using a neural network
Jan 2003   
The Method for Improving Accuracy of 3D Vision Using Parallel Type Neural Network(2nd)
Sep 2002   
Conversion to concentration of mixed substances from the response pattern of taste sensor using neural network
Mar 2003   
Compensation of Periodic Disturbance in Servo Sysutem by Using NN Based Estimator
Dec 2002   

Works

 
Noise reduction
1999 - 2002
Signal seperation
2000 - 2002
Neural network
 - 2002
1998--2002

Research Grants & Projects

 
Japan society for the promotion of science: Grants-in-Aid for Scientific Research
Project Year: Apr 2015 - Mar 2018    Investigator(s): GOTANDA Hiromu
Japan Society for the Promotion of Science: Grants-in-Aid for Scientific Research
Project Year: Apr 2012 - Mar 2015    Investigator(s): GOTANDA Hiromu
Improvement of Learning Convergency for Multilayer Nets from a viewpoint of Initialization
Learning and Recognition of Similar Patterns
Noise Cancellation

Patents

 
USA Appl. No. 10/435,135 : A recovering method of target speech based on split
PCT/JP2004/012899 : A method for recovering target speech based on speech segment detection under a stationary noise
PCT/JP2004/012898 : A method for recovering target speech based on shapes of amlitude distributions of split spectra obtained through blind signal separation