dblp.uni-trier.dewww.uni-trier.de

Mitsuru Kawamoto

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo

2008
22EEMitsuru Kawamoto, Yujiro Inouye, Kiyotaka Kohno: Recently developed approaches for solving blind deconvolution of MIMO-IIR Systems: Super-exponential and eigenvector methods. ISCAS 2008: 121-124
2007
21EEMitsuru Kawamoto, Yujiro Inouye, Kiyotaka Kohno, Takehide Maeda: An Eigenvector Algorithm with Reference Signals Using a Deflation Approach for Blind Deconvolution. ICA 2007: 218-226
20EEMitsuru Kawamoto, Yujiro Inouye, Kiyotaka Kohno: Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA. ICONIP (2) 2007: 498-508
19EEMasanori Ito, Noboru Ohnishi, Ali Mansour, Mitsuru Kawamoto: Blind Source Separation Coping with the Change of the Number of Sources. ICONIP (2) 2007: 509-518
18EEMitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye: Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems. ISCAS 2007: 3486-3489
17EEKiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto: A Matrix Pseudo-Inversion Lemma and Its Application to Block-Based Adaptive Blind Deconvolution for MIMO Systems. ISCAS 2007: 3490-3493
2006
16EEMasanori Ito, Mitsuru Kawamoto, Noboru Ohnishi, Yujiro Inouye: Eigenvector Algorithms with Reference Signals for Frequency Domain BSS. ICA 2006: 123-131
15EEMitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye: Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures. ISCAS 2006
14EEKiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto: Robust super-exponential methods for blind deconvolution of MIMO-IIR systems with Gaussian noise. ISCAS 2006
13EEKiyotaka Kohno, Mitsuru Kawamoto, Asoke K. Nandi, Yujiro Inouye: Robust Blind Equalization Algorithms Based on the Constrained Maximization of a Fourth-Order Cumulant Function. IEICE Transactions 89-A(5): 1495-1499 (2006)
12EEKiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto: A super-exponential deflation method incorporated with higher-order correlations for blind deconvolution of MIMO linear systems. Signal Processing 86(11): 3505-3512 (2006)
2005
11EEMitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye, Asoke K. Nandi: Robust super-exponential methods for blind equalization of SISO systems with additive Gaussian noise. ISCAS (4) 2005: 3031-3034
10EEKiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto: An adaptive super-exponential deflation algorithm for blind deconvolution of MIMO systems using the matrix pseudo-inversion lemma. ISCAS (6) 2005: 5870-5873
9EEMitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye: Robust Super-exponential methods for deflationary blind source separation of instantaneous mixtures. IEEE Transactions on Signal Processing 53(5): 1933-1937 (2005)
2004
8EEMasanori Ito, Masashi Ohata, Mitsuru Kawamoto, Toshiharu Mukai, Yujiro Inouye, Noboru Ohnishi: Adaptive Robust Super-exponential Algorithms for Deflationary Blind Equalization of Instantaneous Mixtures. ICA 2004: 374-381
7EEKiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto: Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems. ICA 2004: 685-693
6 Kiyotaka Kohno, Yujiro Inouye, Mitsuru Kawamoto, Tetsuya Okamoto: Adaptive super-exponential algorithms for blind deconvolution of MIMO systems. ISCAS (5) 2004: 680-683
2003
5EEMitsuru Kawamoto, Yujiro Inouye: Blind deconvolution of MIMO-FIR channels driven by colored inputs using second-order statistics. ISCAS (3) 2003: 48-51
1998
4 Mitsuru Kawamoto, Allan Kardec Barros, Ali Mansour, Kiyotoshi Matsuoka, Noboru Ohnishi: Blind Separation for Convolutive Mixtures of Non-stationary Signals. ICONIP 1998: 743-746
3EEMitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi: A method of blind separation for convolved non-stationary signals. Neurocomputing 22(1-3): 157-171 (1998)
1995
2EEKiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto: A neural net for blind separation of nonstationary signals. Neural Networks 8(3): 411-419 (1995)
1994
1EEKiyotoshi Matsuoka, Mitsuru Kawamoto: A neural network that self-organizes to perform three operations related to principal component analysis. Neural Networks 7(5): 753-765 (1994)

Coauthor Index

1Allan Kardec Barros [4]
2Yujiro Inouye [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [20] [21] [22]
3Masanori Ito [8] [16] [19]
4Kiyotaka Kohno [6] [7] [9] [10] [11] [12] [13] [14] [15] [17] [18] [20] [21] [22]
5Takehide Maeda [21]
6Ali Mansour [4] [19]
7Kiyotoshi Matsuoka [1] [2] [3] [4]
8Toshiharu Mukai [8]
9Asoke K. Nandi [11] [13]
10Masashi Ohata [8]
11Noboru Ohnishi [3] [4] [8] [16] [19]
12Masahiro Ohoya [2]
13Tetsuya Okamoto [6]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)