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Researcher Information

last modified:2017/05/23

Associate Professor HIRANO Akihiro

Mail Laboratory Website

Faculty, Affiliation

Faculty of Electrical and Computer Engineering, Institute of Science and Engineering

College and School Educational Field

Division of Electrical Engineering and Computer Science, Graduate School of Natural Science and Technology
Division of Electrical Engineering and Computer Science, Graduate School of Natural Science and Technology
School of Electrical and Computer Engineering, College of Science and Engineering

Laboratory

Adaptive Sytems TEL:076-234-4897 FAX:076-234-4900

Academic Background

【Academic background(Doctoral/Master's Degree)】
Kanazawa University Master 198903 Completed
【Academic background(Bachelor's Degree)】
Kanazawa University 1987

Career

NEC Corporation(1989/04/01-1998/03/31)
Kanazawa University(1998/04/01-2001/03/31)
Kanazawa University(2001/04/01-)

Year & Month of Birth

1964/08

Academic Society


The Institute of Electrical and Electronics Engineers

Award

The Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers

Specialities

Communication/Network engineering、Control engineering/System engineering、Intelligent informatics

Speciality Keywords

Adaptive filters, Learning

Research Themes

Adaptive Signal Processing

Convergence analyses, learning algorithms and real-time implementation of adaptive signal processing systems are studied. For multi-channel acoustic echo cancellation, analysis, algorithm and implementation on various processors are studied. Other topics include noise-robust learning algorithms, structure and learning for noise cancellation, learning and implementation of adaptive filters with tap-position control.

Newral Networks

Structure and learning algorithms of artificial neural networks, and their application to signal processing are studied.

Books

Papers

  •  Alternative Learning Algorithm for Stereophonic Acoustic Echo Canceller A. Hirano, K. Nakayama, D. Someda, M. Ta IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUT Vol. E87-A, No.8, pp  1958-1964 2004/08
  •  A Low-Distortion Noise Canceller and Its Learning Algorithm in Presence of Crosstalk EICE Trans. Fundamentals E84-A 2 414-421 2001/02
  •  A Modified Normalized LMS Algorithm based on a Long-Term Average of the Reference Signal Power IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUT E78-A 8 915-9 1995/08
  •  A distortion-free learning algorithm for feedforward multi-channel blind source separation A. Horita, K. Nakayama and A. Hirano IEICE Trans. Fundamentals Vol.E90-A, No12, pp 12 2835-2845 2007/12
  •  Block Implementation of a Joint Lattice Predictor and NLMS Algorithm with a Synchronized Learning Algorithm Journal of Signal Processing 7 6 421-428 2003/11

show all

  •  Stereo Echo Canceler with Correct Echo-Path Identification Based on an Input-Sliding Technique IEEE Trans. Signal Processing 49 11 2577-2587 2001/11
  •  A Fast Convergence Algorithm for Adaptive FIR Filters Under Computational Constraint for Adaptive Tap-Position Control IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROC 43 9 629-6 1996/09
  •  A Subband Adaptiver Filtering Algorithm with Adaptive Intersubband Tap-Assignment IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUT E77-A 9 1432- 1994/09
  •  A fast convergence algorithm for sparse-tap adaptive FIR filters identifying an unknown number of dispersive regions IEEE TRANSACTIONS ON SIGNAL PROCESSING 50 12 3008- 2002/12
  •  A Stereo Echo Canceler with Input Slides and Counter-Lateralization A. Sugiyama, Y. Joncour, A. Hirano, T. Nishitani, G. Faucon IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUT E89-A 6 1776-1787 2006/06
  •  A 128kb/s Hi-Fi Audio CODEC Based on Adaptive Transform Coding with Adaptive Block Size MDCT IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 10 1 138-1 1992/01
  •  A Robust Adaptive Beamformer for Microphone Arrays with a Blocking Matrix Using Constrained Adaptive Filters IEEE Trans. Signal Processing 47 10 2677-2684 1999/10
  •  Cancellation of Multiple Echoes by Multiple Autonomic and Distributed Echo Canceler Units IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUT E81-A 11 2361-2369 1998/11
  •  Common spatial pattern with error-correcting output cod and preprocessing on neural-network-based brain-computer interface Prapong Prechaprapranwong, K. Nakayamaa and A. Hirano Journal of Signal Processing 15 2 133-144 2011/03
  •  Robust Adaptive Beamformer with a Blocking Matrix Using Constrained Adaptive Filters IEICE Trans. Fundamentals E82-A 4 640-647 1999/04
  •  Implementation of Stereophonic Acoustic Echo Canceller on nVIDIA GeForce Graphics Processing Unit A. Hirano and K. Nakayama Proc. of 2009 International Symposium On Intelligent Signal Processing and Communication Systems (ISPACS2009) 303-306 2009/12
  •  Implementation of Large-Scale FIR Adaptive Filters on nVIDIA GeForce Graphics Processing Unit A. Hirano and K. Nakayama Proc. of 2010 International Symposium On Intelligent Signal Processing and Communication Systems (ISPACS2010) 2010/12
  •  Double-Talk Resistant Acoustic Echo Canceller with Double Filters 367-370 2003/12
  •  Stereophonic Acoustic Echo Canceller without Pre-Processing 4 145-148 2004/05
  •  Computationally efficient implementation of sarse-tap FIR adaptive filters with tap-position control on intel IA-32 processors A. Hirano and K. Nakayama Proc. IEEE ISPACS2008 pp 292-295 2009/02
  •  A Noise-Robust Echo Canceller on V830 Multimedia RISC Processor Integrated into a Car Navigation System Proc. of 1998 IEEE International Conference on Acoustic, Speech and Signal Processing 1753-1756 1998/05
  •  A Synchronized Learning Algorithm for Reflection Coefficients and Tap Weights in A Joint Lattice Predictor and Transversal Filter Proc. of IEEE International Conference on Acoustic, Speech and Signal Processing ,SPTM-P6 4 2001/05
  •  Stereophonic Acoustic Echo Canceller with Pre-Processing - Second-Order Pre-Processing Filter and Its Convergence - 63-66 2003/09
  •  Crosstalk-Resistant Three-Channel Noise Canceller 143 -146 2003/09
  •  A Software Development System for Digital Signal Processors based on a Knowledge-Based Optimizing Compiler and a Digital Signal Processing Language 183-190 1990/11
  •  A Compact Multi-Channel Echo Canceller with a Single Adaptive Filter per Channel 1922-1925 1992/05
  •  DSP Implementation and Performance Evaluation of a Compact Stereo Echo Canceller 356-361 1993/10
  •  DSP Implementation and Performance Evaluation of a Compact Stereo Echo Canceller 2 249-252 1994/04
  •  A Noise-Robust Stochastic Gradient Algorithm with an Adaptive Step-Size Suitable for Mobile Hands-Free Telephones 1392-1395 1995/05
  •  DSP Implementation and Performance Evaluation of Sparse-Tap Adaptive FIR Filters with Tap-Position Control 3 1295-1298 1996/05
  •  Convergence Analysis of Stereophonic Echo Canceller with Pre-Processing - Relation between Pre-Processing and Convergence - 861-864 1999/03
  •  A synchronized learning algorithm for nonlinear part in a lattice predictor based adaptive volterra filter K. Nakayama, A. Hirano and H. Kashimoto Proc., EUSIPCO2005 2005/09
  •  Analysis and comparative study of source separation performances in feed-forward and feed-back BSSs based on propagation delays in convolutive mixture A. Horita, K. Nakayama and A. Hirano Proc. ICANN2007 pp 169-179 2007/09
  •  Analysis of signal separation and signal distortion in feedforward and feedback blind source separation based on source spectra A. Horita, K. Nakayama, A. Hirano and Y.Dejima IEEE&INNS, Proc., IJCNN2005 pp 1257-1262 2005/07
  •  A blind source separation with exponentially weighted stepsize and its convergence analysis in convolutive mixtures with reverberations A. Horita, K. Nakayama and A. Hirano Proc. IFAC Workshop on Adaptation and Learning Control and Signal Precessing pp 523-528 2004/08
  •  A lattice predictor based adaptive Volterra filter and its convergence analysis K. Nakayama, A. Hirano and H. Kashimoto Proc. IFAC Workshop on Adaptation and Learning Control and Signal Precessing pp 415-420 2004/08
  •  A stereo echo canceller with simultaneous input-sliding and sliding-period control A. Sugiyama,Y. Mizuno, A. Hirano and K. Nakayama Proc. of ICASSP 2010 2010/03
  •  Acoustic echo cancellation for conference systems A. Sugiyama, A. Hirano and K. Nakayama Proc.EUSIPCO2004 pp 17-20 2004/09
  •  A Polyphase and FFT Realization of Modulation Sub-band Adaptive Filter with Minimum Sampling Rate Proc. of 1999 IEEE International Conference on Acoustic, Speech and Signal Processing 1485-1488 1999/03
  •  A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberations\  ? 2003/07
  •  A distortion free learning algorithm for multi-channel convolutive blind source separation A. Horita, K. Nakayama and A. Hirano Proc. EUSIPCO2007 pp 394-398 2007/09
  •  Block implemention of a synchronized learning algorithm in adaptive lattice filters 6 349-352 2003/05
  •  A Constraint Learning Algorithm for Blind Source Separation Proc. of IEEE 2000 International Joint Conference on Neural Networks 327-332 2000/07
  •  A Structure Trainable Neural Network with Embedded Gate Units: Multi-Dimensional Input/Output and Its Learning Algorithm Proc. of IEEE 2001 International Joint Conference on Neural Networks 1681-1686 2001/07
  •  A Learning Algorithm for Convolutive Blind Source Separation with Transmission Delay Constraint 1287-1292 2002/05
  •  Effects of propagation delays and sampling rate on feed-back BSS and comparative studies with feed-forward BSS K. Nakayama, A. Horita and A. Hirano Proc. EUSIPCO2008 CD-ROM  5 pages 2008/09
  •  A feedback approach and its learning algorithm for over complete blind source separation K. Nakayama, H. Katou and A. Hirano Proc. IEEE, ISPACS2006 pp 459-462 2006/12
  •  Analysis of signal separation and distortion analysis in feedforward blind source separation for convolutive mixture K. Nakayama, A. Hirano and Y. Dejima IEEE Proc. MWSCAS2004 pp III_207-III_210 2004/09
  •  A lattice predictor based adaptive Volterra filter and its convergence property analysis K. Nakayama, A. Hirano and H. Kashimoto IEEE Proc. MWSCAS2004 pp II_37-II_40 2004/09
  •  A virtual bandpass filter in sub-band adaptive filters and convergence analysis K. Nakayama, A. Hirano and H. Sakaguchi Proc. IEEE ISPACS2003 pp 375-378 2003/12
  •  A feedback approach to over complete BSS and its learning algorithm K. Nakayama, H. Katou and A. Hirano Proc. EUSIPCO2007 pp 399-403 2007/09
  •  On generalization of multilayer neural network applied to predicting protein secondary structure K. Nakayama, A. Hirano and K. Fukumura IEEE&INNS, Proc., IJCNN2004 pp 1209-1213 2004/07
  •  A blind source separation cascading separation and linearization for low-order nonlinear mixtures T. Nishiwaki, K. Nakayama and A. Hirano IEEE Proc. ICASSP2004 pp V_569-V_572 2004/05
  •  A noise spectral estimation method based on VAD and recursive averaging using new adaptive parameters for non-stationary noise environments K. Nakayama, S. Higashi and A. Hirano Proc. IEEE ISPACS2008 pp 184-187 2009/02
  •  A BCI usinf MEGvision and multilayer neural network - channel optimization and main lobe contribution analysis- K. Nakayama, Y. Kaneda, A. Hirano and Y. Haruta Proc. IEEE ISPACS2008 pp 316-319 2009/02
  •  Neural network based BCI by using orthogonal components of multi-channel brain waves and generalization K. Nakayama, H. Horita and A. Hirano Proc. ICANN2008 pp 879-888 2008/09
  •  A multilayer neural network with nonlinear inputs and trainable activation functions: structure and simultaneous learning algorithm Proc. of IEEE 1999 International Joint Conference on Neural Networks 1657-1661 1999/07
  •  A Selective Learning Algorithm for Nonlinear Synapses in Multilayer Neural Networks Proc. of IEEE 2001 International Joint Conference on Neural Networks 1704-1709 2001/07
  •  An Adaptive Nonlinear Function Controlled by Kurtosis for Blind Source Separation 1234-1239 2002/05
  •  Cutting Error Prediction by Multilayer Neural Networks for Machine Tools with Thermal Expansion and Compression 1373-1378 2002/05
  •  An adaptive nonlinear function controlled by estimated output pdf for blind source separation 427-432 2003/04
  •  Improved methods for noise spectral estimation and adaptive spectral gain control in noise spectral suppressor K. Nakayama, H. Suzuki and A. Hirano Proc. IEEE, ISPACS2007 pp 97-100 2007/12
  •  A brain computer interface based no FFT and multilayer neural network -feature extraction and generalization- K. Nakayama, Y. Kaneda and A. Hirano Proc. IEEE, ISPACS2007 pp 101-104 2007/12
  •  A learning algorithm with distortion free constraint and comparative study for feedforward and feedback BSS A. Horita, K. Nakayama, A. Hirano and Y.Dejima Proc. EUSIPCO2006 2006/09
  •  A distortion free learning algorithm for feedforward BSS and its comparative study with feedback BSS A. Horita, K. Nakayama, A. Hirano and Y.Dejima IEEE&INNS, Proc. IJCNN2006 pp 7642-7649 2006/07
  •  A lattice predictor based adaptive Volterra filter and a synchronized learning algorithm K. Nakayama, A. Hirano and H. Kashimoto Proc.EUSIPCO2004 pp 1585-1588 2004/09
  •  Effects of number of sensors in a BSS cascading group separation and linearization applied to nonlinear mixture K. Nakayama, A. Hirano and T. Nishiwaki Proc. IFAC Workshop on Adaptation and Learning Control and Signal Precessing pp 529-533 2004/08
  •  Efficient Implementation of RLS-Based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit A. Hirano and K. Nakayama Proc. of 27th SIP Symposium 241-245 2012/11 
  •  Implementation of RLS-based Adaptive Filters on nVIDIA GeForce Graphics Processing Unit A. Hirano and K. Nakayama Proc. of 25th SIP Symposium 477-481 2011/11 
  •  Parallel Simulation of FIR Adaptive Filters on nVIDIA GeForce Graphics Processing Unit A. Hirano and K. Nakayama Proc. of 25th SIP Symposium 98-102 2010/11
  •  Convergence Analysis of a Multi-Channel Acoustic Echo Canceller Proc. of 12th DSP Symposium 521-526 1997/11
  •  A Concept of A Virtual Filter in Sub-band Adaptive Filters and Convergence Analysis Technical Report of IEICE, DSP2000 25-32 2001/05
  •  On Learning Stabilization in Multi-Signal Source Blind Separation Technical Report of IEICE NC2000 25-32 2000/05
  •  Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm Proc. of IEEE 2000 International Joint Conference on Neural Networks 253-258 2000/07
  •  A BCI system based on orthogonalized EEG data and multiple multilayer neural networks in parallel form K. Nakayama, H. Horita and A. Hirano Proc. of International Conference on Artificial Neural Networks 2010 205-210 2010/09
  •  Speech Acquisition by Adaptive Microphone Array Using Kinect R. Nakada, A. Hirano Proc. of 30th SIP Symposium 230-235 2015/11
  •  Learning Algorithm for Stereophonic Acoustic Echo Canceller with Pre-Processing by Time-Varying Allpass Filters S. Nakano, A. Hirano Proc. of 30th SIP Symposium 230-235 2015/11
  •  Music Source Separation in Time-Frequency Domain by Using Lateral Excitation and Inhibition Neural Networks M. Nakasato, A. Hirano Proc. of 29th SIP Symposium 290-295 2014/11
  •  Parallel simulation of neural networks using Radeon HD 7970 K. Horita, A. Hirano Proc. of 28th SIP Symposium 224-229 2013/11
  •  Learning Algorithm for Stereophonic Acoustic Echo Canceller R. Miyagishima, A. Hirano Proc. of 28th SIP Symposium 647-652 2013/11
  •  Battery fuel gauge for lithium-ion battery using multiple neural networks A. Hirano, K. Nakayama, Y. Mineda, A. Kawamura, Y. Kobayashi Proc. of 28th SIP Symposium 373-378 2013/11
  •  Reduction of Delay Restrictions in Feedback Blind Source Separation A. Hirano, S. Hasegawa Proc. of 30th SIP Symposium 416-421 2015/11
  •  A BCI System Based on Wavelet Decomposition and Support Vector Machine with a Dual-Class VotingMechanism Guang Yang, Kenji Nakayama and Akihiro Hirano Proc. of 26th SIP Symposium 492-496 2011/11
  •  Efficient Implementation of Adaptive Filters Using OpenCL A. Hirano Proc. of 29th SIP Symposium 2014/11
  •  An Adaptive Control Method for Regression Coefficient in Frequency Domain Non-Linear Echo Suppressor K. Nakayama, Y. Ofuji, A. Hirano Proc. of EUSIPCO 2012 624-628 2012/08
  •  A dual-class voting mechanism for brain computer interface based on wavelet packet and support vector machine G. Yang, K. Nakayama, A. Hirano Proc of 6th IEEE International Information Technology and Artificial Intellignce Conference, ITAIC 2011 2011/08
  •  A Circuit Structure and A Learning Algorithm for Blind Source Separation Applied to Variable Number and Combination of Signal Sources Tatsuya KOBAYASHI, Kenji NAKAYAMA, Akihiro HIRANO Proc. of 27th SIP Symposium 241-245 2012/11
  •  A Learning Algorithm for Blind Source Separation Mixing Feedforward and Feedback Juanjuan Bian, Kenji Nakayama, Akihiro Hirano Proc. of 26th SIP Symposium 624-629 2011/11
  •  A Circuit Structure and A Learning Algorithm for Blind Source Separation Applied to Variable Signal Source Combinations Kensuke ISOBATA, Kenji NAKAYAMA, Akihiro HIRANO Proc. of 26th SIP Symposium 618-623 2011/11
  •  Performance Analysis of Brain Computer Interface Based on Single-Channel EEG and Neural Networks Yuta ICHIKAWA, Kenji NAKAYAMA, Akihiro HIRANO Proc. of 26th SIP Symposium 596-601 2011/11
  •  An Improved Update Method for Regression-Coefficient Used in Frequency Domain Correlation Model Applied to Nonlinear Echo Canceller Yuki OFUJI, Kenji NAKAYAMA, Akihiro HIRANO Proc. of 26th SIP Symposium 438-443 2011/11
  •  A VAD Based on Entropy and Variance of Noisy Speech Spectrum and Its Application to Noise Spectral Suppression Shinji YAMASHITA, Kenji NAKAYAMA, Akihiro HIRANO Proc. of 26th SIP Symposium 386-391 2011/11
  •  Approximation of Nonlinear Characteristics Based on Short Time Fourier Transform and its Application to Adaptive Filter R. Kokido, K. Nakayama and A. Hirano Proc. of 25th SIP Symposium 273-278 2010/11
  •  A noise spectral estimation method based on 2-dimension dynamically VAD used in noise spectral suppression Sarayut Tungpontawee, K. Nakayama, A. HIrano Proc. of 25th SIP Symposium 256-261 2010/11
  •  On Feature Extraction from Multi-Channel Brain Waves Used for Brain Computer Interface H. SAITO, K. NAKAYAMA, A. HIRANO Proc. of 25th SIP Symposium 115-120 2010/11
  •  CSP-ECOC combination on BCI application Prapong Prechaprapranwong, K. Nakayama, A. Hirano Proc. of 25th SIP Symposium 109-114 2010/11
  •  Performance Improvements of Brain Computer Interface Using Correlation Reduction Between Channels  Y. Nishiyama, A. Hirano Proc. of 31th SIP Symposium 376-380 2016/11/08 
  •  Study on the noise reduction technique for VLF emissions by audio signal processing T. Dejima, M. Ozaki, S. Yagitani, K. Shiokawa, Y. Miyoshi, M. Miyoshi, A. Hirano, M. Connors Proc. of Japan Geoscience Union Meeting PEM18-P13
  •  Reduction of multiple narrow-band noises from radio waves A. Hirano, M. Ozaki, S. Yagitani Proc. of 31th SIP Symposium 381-386 2016/11/08 

Conference Presentations

Arts and Fieldwork

Patent

○Multi-channel echo canceling method and apparatus(No:5396554)

Theme to the desired joint research

○Analysis, Algorithm and Implementation of Adaptive Filters

Grant-in-Aid for Scientific Research

○「高音質・高速収束ステレオエコーキャンセラに関する研究」(2012-2014) 
○「高音質・高速収束ステレオエコーキャンセラに関する研究」(2006-) 
○「多チャンネルエコーキャンセラの学習法および収束解析に関する研究」(2000-) 
○「前処理を用いないステレオエコーキャンセラに関する研究」(2001-) 
○「前処理を用いないステレオエコーキャンセラに関する研究」(2002-) 

Classes (Bachelors)

○Presentation and Debate (Freshman Seminar II)(2017)
○Information and Computer System Engineering Laboratory 1(2017)
○Computer System Administration(2017)
○Signals and Systems(2017)
○Computer Science and Information Processing(2017)
○Presentation and Debate (Freshman Seminar II)(2017)
○Freshman Seminar I(2017)
○Freshman Seminar I(2017)
○Presentation and Debate (Freshman Seminar II)(2017)
○Computer Science and Information Processing(2017)
○Presentation and Debate (Freshman Seminar II)(2017)
○Presentation and Debate (Freshman Seminar II)(2016)
○Presentation and Debate (Freshman Seminar II)(2016)
○Freshman Seminar I(2016)
○Freshman Seminar I(2016)
○Information Science(2016)
○Information Science(2016)
○Computer System Administration(2016)
○Signals and Systems(2016)
○Information and Computer System Engineering Laboratory 1(2016)

Classes (Graduate Schools)

○Real-Time Signal Processing(2017)
○Real-Time Signal Processing(2017)
○Real-Time Signal Processing(2017)
○Media Processors(2017)
○Real-Time Signal Processing(2017)
○Media Processors(2016)
○Real-Time Signal Processing(2016)
○Media Processors(2015)
○Media Processors (2014)

International Project

International Students

Lecture themes

Others (Social Activities)

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