Mitsuru Kawamoto
Orcid: 0000-0002-0562-3851
According to our database1,
Mitsuru Kawamoto
authored at least 58 papers
between 1994 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications, 2024
2023
Poster Abstract: Mobile Context Logger: Recognizing User's Auditory Environments and Activities using Smartwatch.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023
2021
Method for Analyzing Interactions in Pedagogical Environments using Environmental Sound Analysis.
Proceedings of the Second International Conference on Intelligent Data Science Technologies and Applications, 2021
2020
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.
Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Sound-environment monitoring technique based on computational auditory scene analysis.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2015
Proceedings of the Eighth International Conference on Mobile Computing and Ubiquitous Networking, 2015
2013
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.
Proceedings of the Serviceology for Services, 2013
2011
A Modified Eigenvector Method for Blind Deconvolution of MIMO Systems Using the Matrix Pseudo-Inversion Lemma.
Circuits Syst., 2011
2010
A Matrix Pseudoinversion Lemma and Its Application to Block-Based Adaptive Blind Deconvolution for MIMO Systems.
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.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
2009
EURASIP J. Audio Speech Music. Process., 2009
A System for Detecting Unusual Sounds from Sound Environment Observed by Microphone Arrays.
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.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
Recently developed approaches for solving blind deconvolution of MIMO-IIR Systems: Super-exponential and eigenvector methods.
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.
IEEE Signal Process. Lett., 2007
Tracking a varying number of sound sources using particle filtering.
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.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
Particle Filtering Algorithms for Tracking Multiple Sound Sources using Microphone Arrays.
Proceedings of the IEEE International Conference on Acoustics, 2007
An Eigenvector Algorithm with Reference Signals Using a Deflation Approach for Blind Deconvolution.
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Robust Super-exponential methods for blind deconvolution of MIMO-FIR systems with Gaussian noise.
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.
Signal Process., 2006
Robust Blind Equalization Algorithms Based on the Constrained Maximization of a Fourth-Order Cumulant Function.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006
Robust super-exponential methods for blind deconvolution of MIMO-IIR systems with Gaussian noise.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
2005
Robust Super-exponential methods for deflationary blind source separation of instantaneous mixtures.
IEEE Trans. Signal Process., 2005
Robust super-exponential methods for blind equalization in the presence of Gaussian noise.
IEEE Trans. Circuits Syst. II Express Briefs, 2005
Robust super-exponential methods for blind equalization of an SISO-IIR system with additive Gaussian noise.
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.
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.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005
2004
Adaptive super-exponential algorithms for blind deconvolution of MIMO systems.
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.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Robust super-exponential methods for deflationary blind equalization of static systems.
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.
IEEE Signal Process. Lett., 2003
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
Blind Deconvolution of MIMO-FIR Systems with Colored Inputs Using Second-Order Statistics.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003
Blind deconvolution of MIMO-FIR channels driven by colored inputs using second-order statistics.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
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.
Proceedings of the IEEE International Conference on Acoustics, 2002
1999
Proceedings of the International Joint Conference Neural Networks, 1999
1998
Neurocomputing, 1998
Blind Separation for Convolutive Mixtures of Non-stationary Signals.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998
1996
1995
1994
A neural network that self-organizes to perform three operations related to principal component analysis.
Neural Networks, 1994