2008 |
22 | EE | Mitsuru 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 |
21 | EE | Mitsuru Kawamoto,
Yujiro Inouye,
Kiyotaka Kohno,
Takehide Maeda:
An Eigenvector Algorithm with Reference Signals Using a Deflation Approach for Blind Deconvolution.
ICA 2007: 218-226 |
20 | EE | Mitsuru Kawamoto,
Yujiro Inouye,
Kiyotaka Kohno:
Blind Deconvolution of MIMO-IIR Systems: A Two-Stage EVA.
ICONIP (2) 2007: 498-508 |
19 | EE | Masanori Ito,
Noboru Ohnishi,
Ali Mansour,
Mitsuru Kawamoto:
Blind Source Separation Coping with the Change of the Number of Sources.
ICONIP (2) 2007: 509-518 |
18 | EE | Mitsuru Kawamoto,
Kiyotaka Kohno,
Yujiro Inouye:
Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems.
ISCAS 2007: 3486-3489 |
17 | EE | Kiyotaka 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 |
16 | EE | Masanori Ito,
Mitsuru Kawamoto,
Noboru Ohnishi,
Yujiro Inouye:
Eigenvector Algorithms with Reference Signals for Frequency Domain BSS.
ICA 2006: 123-131 |
15 | EE | Mitsuru Kawamoto,
Kiyotaka Kohno,
Yujiro Inouye:
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures.
ISCAS 2006 |
14 | EE | Kiyotaka Kohno,
Yujiro Inouye,
Mitsuru Kawamoto:
Robust super-exponential methods for blind deconvolution of MIMO-IIR systems with Gaussian noise.
ISCAS 2006 |
13 | EE | Kiyotaka 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) |
12 | EE | Kiyotaka 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 |
11 | EE | Mitsuru 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 |
10 | EE | Kiyotaka 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 |
9 | EE | Mitsuru 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 |
8 | EE | Masanori 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 |
7 | EE | Kiyotaka 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 |
5 | EE | Mitsuru 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 |
3 | EE | Mitsuru Kawamoto,
Kiyotoshi Matsuoka,
Noboru Ohnishi:
A method of blind separation for convolved non-stationary signals.
Neurocomputing 22(1-3): 157-171 (1998) |
1995 |
2 | EE | Kiyotoshi Matsuoka,
Masahiro Ohoya,
Mitsuru Kawamoto:
A neural net for blind separation of nonstationary signals.
Neural Networks 8(3): 411-419 (1995) |
1994 |
1 | EE | Kiyotoshi 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) |