Mitsuru Kawamoto

Akio Sashima

Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021

2020

Building Health Monitoring Using Computational Auditory Scene Analysis.

[BibT_eX]

[DOI]

Takuji Hamamoto

Proceedings of the 16th International Conference on Distributed Computing in Sensor Systems, 2020

2019

Development of A Virtual Environment to Realize Human-Machine Interaction of Forklift Operation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019

Towards Sensing and Sharing Auditory Context Information Using Wearable Device.

[BibT_eX]

[DOI]

Akio Sashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

Work Analysis Using Human Operating Data Based on a State Transition Model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

Sound-environment monitoring technique based on computational auditory scene analysis.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

A Telecare System on Smart Watches that Communicate with Wireless Bio Sensors.

[BibT_eX]

[DOI]

Akio Sashima

Koichi Kurumatani

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2015

Web-based integrated visualization service for monitoring urban public spaces.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Mobile Computing and Ubiquitous Networking, 2015

2013

A sensor data streaming service for visualizing urban public spaces.

[BibT_eX]

[DOI]

Proceedings of the 11th ACM Conference on Embedded Network Sensor Systems, 2013

An Indoor Autonomous Positioning and Navigation Service to Support Activities in Large-Scale Commercial Facilities.

[BibT_eX]

[DOI]

Proceedings of the Serviceology for Services, 2013

2011

A Modified Eigenvector Method for Blind Deconvolution of MIMO Systems Using the Matrix Pseudo-Inversion Lemma.

[BibT_eX]

[DOI]

Circuits Syst., 2011

2010

A Matrix Pseudoinversion Lemma and Its Application to Block-Based Adaptive Blind Deconvolution for MIMO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2010

A block-based adaptive super-exponential deflation algorithm for blind deconvolution of MIMO systems using the matrix pseudo-inversion lemma.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

A localization method for multiple sound sources by using coherence function.

[BibT_eX]

[DOI]

Hiromichi Nakashima

Toshiharu Mukai

Proceedings of the 18th European Signal Processing Conference, 2010

2009

Tracking Intermittently Speaking Multiple Speakers Using a Particle Filter.

[BibT_eX]

[DOI]

EURASIP J. Audio Speech Music. Process., 2009

A System for Detecting Unusual Sounds from Sound Environment Observed by Microphone Arrays.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Information Assurance and Security, 2009

2008

A Matrix Pseudo-Inversion Lemma for Positive Semidefinite Hermitian Matrices and Its Application to Adaptive Blind Deconvolution of MIMO Systems.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Recently developed approaches for solving blind deconvolution of MIMO-IIR Systems: Super-exponential and eigenvector methods.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2008), 2008

2007

Eigenvector Algorithms Incorporated With Reference Systems for Solving Blind Deconvolution of MIMO-IIR Linear Systems.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2007

Tracking a varying number of sound sources using particle filtering.

[BibT_eX]

Proceedings of the Signal and Image Processing (SIP 2007), 2007

A Matrix Pseudo-Inversion Lemma and Its Application to Block-Based Adaptive Blind Deconvolution for MIMO Systems.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Blind Source Separation Coping with the Change of the Number of Sources.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Robust Eigenvector Algorithms for Blind Deconvolution of MIMO Linear Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Particle Filtering Algorithms for Tracking Multiple Sound Sources using Microphone Arrays.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

An Eigenvector Algorithm with Reference Signals Using a Deflation Approach for Blind Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2007

Robust Super-exponential methods for blind deconvolution of MIMO-FIR systems with Gaussian noise.

[BibT_eX]

[DOI]

Proceedings of the 15th European Signal Processing Conference, 2007

2006

A super-exponential deflation method incorporated with higher-order correlations for blind deconvolution of MIMO linear systems.

[BibT_eX]

[DOI]

Signal Process., 2006

Robust Blind Equalization Algorithms Based on the Constrained Maximization of a Fourth-Order Cumulant Function.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

Robust super-exponential methods for blind deconvolution of MIMO-IIR systems with Gaussian noise.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Robust Super-Exponential Methods for Blind Equalization of MIMO-IIR Systems.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Eigenvector Algorithms Using Reference Signals.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Eigenvector Algorithms with Reference Signals for Frequency Domain BSS.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

2005

Robust Super-exponential methods for deflationary blind source separation of instantaneous mixtures.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2005

Robust super-exponential methods for blind equalization in the presence of Gaussian noise.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2005

Robust super-exponential methods for blind equalization of an SISO-IIR system with additive Gaussian noise.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

An adaptive super-exponential deflation algorithm for blind deconvolution of MIMO systems using the matrix pseudo-inversion lemma.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

Robust super-exponential methods for blind equalization of SISO systems with additive Gaussian noise.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004

Adaptive super-exponential algorithms for blind deconvolution of MIMO systems.

[BibT_eX]

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Robust super-exponential methods for deflationary blind equalization of static systems.

[BibT_eX]

[DOI]

Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003

A deflation algorithm for the blind source-factor separation of MIMO-FIR channels driven by colored sources.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2003

ICA Papers Classified According to their Applications and Performances.

[BibT_eX]

[DOI]

Ali Mansour

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

Blind Deconvolution of MIMO-FIR Systems with Colored Inputs Using Second-Order Statistics.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

Blind deconvolution of MIMO-FIR channels driven by colored inputs using second-order statistics.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

A signal separation technique which can be applied to the ears of robots.

[BibT_eX]

[DOI]

Kazunori Aoshima

Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

2002

A deflation algorithm for the blind deconvolution of MIMO-FIR channels driven by fourth-order colored signals.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2002

1999

Real world blind separation of convolved speech signals.

[BibT_eX]

[DOI]

Noboru Ohnishi

Proceedings of the International Joint Conference Neural Networks, 1999

1998

A method of blind separation for convolved non-stationary signals.

[BibT_eX]

[DOI]

Noboru Ohnishi

Neurocomputing, 1998

Blind Separation for Convolutive Mixtures of Non-stationary Signals.

[BibT_eX]

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1996

The learning of linear neural nets with anti-hebbian rules.

[BibT_eX]

[DOI]

Syst. Comput. Jpn., 1996

1995

A neural net for blind separation of nonstationary signals.

[BibT_eX]

[DOI]

Masahiro Ohoya

Neural Networks, 1995

1994

A neural network that self-organizes to perform three operations related to principal component analysis.

[BibT_eX]

[DOI]