Publications

Google Scholar Citations

My publication list is available in the PDF.

Journal Papers

  1. Md. K.I. Molla, K.M. Hassan, Md. R. Islam, T. Tanaka, "Graph eigen decomposition-based feature-selection method for epileptic seizure detection using electroencephalography," Sensors, August 2020, 20, 4639.

  2. T. Wada, K. Fukumori, T. Tanaka, and S. Fiori, "Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning," PLoS ONE 15(8): e0237654, Aug. 2020

  3. S. Ahmadi-Asl, A. Cichocki, A.-H. Phan, M. G. Asante-Mensah, F. Mousavi, I. Oseledets, and T. Tanaka, "Randomized algorithms for fast computation of low-rank tensor ring model," Machine Learning: Science and Technology, 2020 (accepted)

  4. A. Shakeel, T. Tanaka, and K. Kitajo, "Time-series prediction of the oscillatory phase of EEG signals using the least mean square algorithm-based AR model," Applied Sciences, no. 10:3616, 2020

  5. Md. K. I. Molla, A. Al Shiam, Md. R. Islam, and T. Tanaka, "Discriminative feature selection based motor imagery classification using EEG signal," IEEE Access, vol. 8, pp. 98255-98265, 2020

  6. D. Wang and T. Tanaka, "Robust kernel principal component analysis with 𝓁2,1-regularized loss minimization," IEEE Access, vol. 8, pp. 81864-81875, 2020

  7. Most. S. Akter, Md R. Islam, Y. Iimura, H. Sugano, K. Fukumori, D. Wang, T. Tanaka, A. Cichocki, "Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG," Scientific Reports, vol.10, no. 1, pages 7044, April 2020

  8. T. Mitsuhashi, H. Sugano, K. Asano, T. Nakajima, M. Nakajima, H. Okura, Y. Iimura, H. Suzuki, Y. Tange, T. Tanaka, S. Aoki, and H. Arai, "Functional MRI and Structural Connectome Analysis of Language Networks in Japanese-English Bilinguals," Neuroscience, Volume 431, Pages 17-24, 1 April 2020

  9. H. Nagai and T. Tanaka, "Action Observation of Own Hand Movement Enhances Event-Related Desynchronization," IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol.27, Issue 7, pp.1407--1415, July 2019

  10. D. Wang and T. Tanaka, “Kernel Principal Component Analysis Allowing Sparse Representation and Sample Selection”, ECTI Transactions on Computer and Information Technology (ECTI-CIT), vol. 13, no. 1, pp. 51-62, Jun. 2019.

  11. A. Sakiyama, Y. Tanaka, T. Tanaka, and A. Ortega, "Eigendecomposition-free sampling set selection for graph signals," IEEE Trans. Signal Processing, Vol. 67 , Issue. 10 , May 15, 2019

  12. Y. Kumagai, R. Matsui, and T. Tanaka, "Music familiarity affects EEG entrainment when little attention is paid," Front. Hum. Neurosci. 12:444. doi: 10.3389/fnhum.2018.00444, 2018

  13. K. Suefusa and T. Tanaka, “Asynchronous brain–computer interfacing based on mixed-coded visual stimuli,” IEEE Trans. Biomedical Engineering, vol.65, no.9, pp.2119--2129, Sept. 2018

  14. Y. Zhang, E. Yin, F. Li, Y. Zhang, T. Tanaka, Q. Zhao, Y. Cui, P. Xu, D. Yao, D. Guo, "Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI," IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1314--1322, July 2018

  15. Md K. I. Molla, N. Morikawa, Md R. Islam, and T. Tanaka, "Data-adaptive spatiotemporal ERP cleaning for single-trial BCI implementation," IEEE Trans. Neural Systems and Rehabilitation Eng., vol.26, no.7, pp.1334-1344, July 2018

  16. Md R. Islam, T. Tanaka, and Md K. I. Molla, "Multiband tangent space mapping and feature selection for classification of EEG during motor imagery," Journal of Neural Engineering, vol. 15, issue 4, Aug. 2018

  17. N. Morikawa, T. Tanaka, and Md R. Islam “Complex sparse spatial filter for decoding mixed frequency and phase coded steady-state visually evoked potentials,” Journal of Neuroscience Methods, vol. 304, pp. 1-10, July 2018.

  18. Y. Zhang, D. Guo, F. Li, E. Yin, Y. Zhang, P. Li, Q. Zhao, T. Tanaka, D. Yao, and P. Xu,“Correlated component analysis for enhancing the performance of SSVEP-based brain-computer interface,” IEEE Trans. Neural Systems and Rehabilitation Eng., vol. 26, no. 5, pp. 948-956, May 2018.

  19. Okawa, H., Suefusa, K., and T. Tanaka, “Neural entrainment to auditory imagery of rhythms,” Frontiers in Human Neuroscience, vol.11, article 493, 11 pages, Oct. 2017

  20. Kumagai, Y., Arvaneh, M., and T. Tanaka, “Familiarity affects entrainment of EEG in music listening,” Frontiers in Human Neuroscience, vol.11, article 384, 8 pages, July 2017

  21. Uehara, T., Sartori, M., Fiori, S., and Tanaka, T., ``Robust averaging of covariances for EEG recordings classification in motor imagery brain computer interfaces,'' Neural Computation, vol.29, pp.1631-16999, June 2017

  22. Suefusa, K. and Tanaka, T., ``A comparison study of visually stimulated brain-computer and eye tracking interfaces, '' Journal of Neural Engineering, vol.14, 2017

  23. Islam, Md R., Molla, Md K. I., Nakanishi, M., and T. Tanaka, ``Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA,'' Journal of Neural Engineering, vol.14, no.2, 10 pages, Feb. 2017

  24. Higashi, H., Rutkowski, T. M., Tanaka, T., and Y. Tanaka, ``Multilinear discriminant analysis with subspace constraints for single-trial classification of event-related potentials,'' IEEE Journal of Selected Topics in Signal Processing, vol.10, pp.1295-1305, Oct. 2016

  25. Tomida, N., Tanaka, T., Ono, S., Yamagishi, M., and Higashi, H., ``Active data selection for motor imagery EEG classification,'' IEEE Trans. Biomedical Engineering, vol.62, pp.458-467, Feb. 2015

  26. Fiori, S., Kaneko, T., and Tanaka, T., ``Tangent-bundle maps on the Grassmann manifold: Application to empirical arithmetic averaging,'' IEEE Trans. Signal Processing, vol.63, pp.155-168, Jan. 2015

  27. Uddin, Md S., Kuh, A., Kavcic, A., and Tanaka, T., ``Nested performance bounds and approximate solutions for the sensor placement problem,'' APSIPA Trans. Signal and Information Processing, Vol. 3, e4 (13 pages), 2014

  28. Higashi, H. and Tanaka, T., ``Common spatio-time-frequency patterns for motor-imagery-based brain machine interfaces,'' Computational Intelligence and Neuroscience, Vol.2013, Article ID 537218, 12 pages, 2013

  29. Kimura, Y., Tanaka, T., Higashi, H., and Morikawa, N., ``SSVEP-based brain-computer interfaces using FSK-modulated visual stimuli,'' IEEE Trans. Biomedical Engineering, vol.60, pp.2831-2818, Oct. 2013

  30. M. Koshiba, A. Senoo, K. Mimura, Y. Shirakawa, G. Karino, S. Obara, S. Ozawa, H. Sekihara, Y. Fukushima, T. Ueda, H. Kishino, T. Tanaka, H. Ishibashi, H. Yamanouchi, K. Yui, and S. Nakamura, “A cross-species socio-emotional behaviour development revealed by a multivariate analysis,” Sci. Rep., vol. 3, no. 1, p. 2630, Dec. 2013.

  31. Higashi, H. and Tanaka, T., ``Simultaneous design of FIR filter banks and spatial patterns for EEG signal classification,'' IEEE Trans. Biomedical Engineering, vol.60, pp.1100-1110, Apr. 2013

  32. Kaneko, T., Fiori, S., and Tanaka, T., ``Empirical arithmetic averaging over the compact Stiefel manifold,'' IEEE Trans. Signal Processing, vol.61, pp.883-894, Feb. 2013

  33. Molla, Md K. I., Islam, Md R., Tanaka, T., and Rutkowski, T. M., ``Artifact suppression from EEG signals using data adaptive time domain filtering,'' Neurocomputing, Vol.97, pp.297-308, Nov. 2012

  34. Rutkowski, T. M., Tanaka, T., Cichocki, A., D. Erickson, and D. P. Mandic, ``Interactive components extraction from fEEG, fNIRS, and peripheral biosignals for affective brain-machine interfacing paradigms,'' Computers in Human Behavior, Vol.27, pp.1512-1518, Sept. 2011

  35. Omer, O. A. and Tanaka, T., ``Region-based weighted-norm with adaptive regularization for resolution enhancement,'' Digital Signal Processing, vol.21, pp.508-516, July 2011

  36. Chong, R. M., and Tanaka, T., ``Maxima exploitation for reference blurring function in motion deconvolution,'' IEICE Trans. Fundamentals, Vol.E94-A, pp.921-928, Mar. 2011

  37. Shi, Q., Yang J., Cao, J., Tanaka, T., and Wang, R., ``EEG data analysis based on EMD for coma and quasi-brain-death patients,'' J. Experimental & Theoretical Artificial Intelligence, vol.23, pp.97-110, Mar. 2011

  38. Bakardjian, H., Tanaka, T., and Cichocki, A., ``Emotional faces boost up steady-state visual responses for brain-computer interface,'' NeuroReport, vol.22, pp.121-125, Feb. 16, 2011

  39. Chong, R. M., and Tanaka, T., ``Motion blur identification using maxima locations for blind color image restoration,'' FTRA Journal of Convergence, Vol.1, pp.49-56, Dec. 15, 2010 (IF無し)

  40. Washizawa, Y., Yamashita, Y., Tanaka, T., and Cichocki, A., ``Blind extraction of global signal from multi-channel noisy observations,'' IEEE Trans. Neural Networks, vol.21, pp.1472-1481, Sept. 2010

  41. Zainal, N., Tanaka, T. and Yamashita, Y., ``Moving picture coding by lapped transform and edge adaptive deblocking filter with zero pruning SPIHT,'' IEICE Trans. Information and Systems, vol. E93-D, pp.1608-1617, June 2010

  42. Omer, O. A. and Tanaka, T., ``Extraction of high-resolution frame from low-resolution video sequence using region-based motion estimation,'' IEICE Trans. Fundamentals, pp.742-751, vol.E93-A, Apr. 2010

  43. Bakardjian, H., Tanaka, T., and Cichocki, A., ``Optimization of SSVEP brain responses with application to eight-command brain-computer interface,'' Neuroscience Letters, pp.34-38, vol.469, Jan. 2010

  44. Omer, O. A. and Tanaka, T., ``Image super-resolution based on locally adaptive mixed-norm,'' J. Electrical and Computer Engineering, vol. 2010, Article ID 435194, 4 pages, 2010

  45. Omer, O. A. and Tanaka, T., ``Image restoration based on adaptive directional regularization,'' IEICE Trans. Fundamentals, pp.3344-3354, vol.E92-A, Dec. 2009.

  46. Chong, R. M., and Tanaka, T., ``Detection and classification of invariant blurs,'' IEICE Trans. Fundamentals, pp.3313-3320, vol.E92-A, Dec. 2009.

  47. Fukai H., Takimoro H., Mitsukura, Y., Tanaka, T., and Fukumi, M., ``A design of apparent-age estimation system by the empirical mode decomposition,'' J. Circuits, Systems, and Computers, pp.1481-1492, vol.18, Dec. 2009

  48. Yang, J., Saito, Y., Cao, J., Tanaka, T., and Takeda, T., ``Empirical mode decomposition method for MEG phantom data analysis,'' J. Circuits, Systems, and Computers, pp.1467-1480, vol.18, Dec. 2009

  49. Fiori, S. and Tanaka, T., ``An algorithm to compute averages on matrix Lie groups,'' IEEE Trans. Signal Processing, pp.4734-4743, vol.57, Dec. 2009

  50. Tanaka, T., ``Fast generalized eigenvector tracking based on the power method,'' IEEE Signal Processing Letters, pp.969-972, vol.16, Nov. 2009

  51. Yabuta, K., Kitazawa, H., and Tanaka, T., ``Privacy protection by masking moving objects for security cameras,'' IEICE Trans. Fundamentals. vol. E92-A, pp. 919-927, Mar. 2009

  52. Murakami, T., Tanaka, T., and Ishida Y., ``Measurement of similarity between latent variables,'' IEICE Trans. Fundamentals, vol. E92-A, pp. 824-831, Mar. 2009

  53. Murakami, T., Tanaka, T., and Ishida, Y., ``Time-domain blind signal separation of convolutive mixtures via multidimensional independent component analysis,'' IEICE Trans. Fundamentals, vol. E92-A, pp. 733-744, Mar. 2009

  54. Fukai, H., Takimoto, H., Mitsukura, Y., Tanaka, T., and Fukumi, M., ``Apparent age feature extraction by empirical mode decomposition,'' J. Signal Processing, vol. 12, Nov. 2008

  55. Omer, O. A. and Tanaka, T., ``Demosaicking based on optimization and projection in different frequency bands,'' EURASIP J. Image and Video Processing, vol. 2008, Article ID 364142, 14 pages, 2008

  56. Tanaka, T. and Mandic, D. P., ``Complex empirical mode decomposition,'' IEEE Signal Processing Letters, vol. 14, pp. 101-104, Feb. 2007

  57. Tanaka, T., ``A direct design of oversampled perfect reconstruction FIR filter banks of 50%-overlapping filters,'' IEEE Trans. Signal Processing, vol. 54, pp. 3011-3022, Aug. 2006

  58. Tanaka, T., Hirasawa, Y., and Yamashita, Y., ``Variable-length lapped transform with combination of multiple synthesis filter banks for image coding,'' IEEE Trans. Image Processing, vol. 15, pp. 81-88, Jan. 2006

  59. Hoya, T., Tanaka, T., Cichocki, A., Hori, G., Murakami, T., and Chambers , J. A., ``Stereophonic noise reduction using a combined sliding subspace projection and adaptive signal enhancement,'' IEEE Trans. Speech and Audio Processing, vol. 13, pp. 309-320, May 2005

  60. Tanaka, T., ``Generalized weighted rules for principal components tracking,'' IEEE Trans. Signal Processing, vol. 53, pp. 1243-1253, Apr. 2005

  61. Tanaka, T. and Yamashita, Y., ``The generalized lapped pseudo-biorthogonal transform: Oversampled linear-phase perfect reconstruction filter banks with lattice structures,'' IEEE Trans. Signal Processing, vol. 52, pp. 434-446, Feb. 2004

  62. Tanaka, T., T. Saito and Yamashita, Y. ``A time-varying subband transform with projection-based reconstruction,'' IEICE Trans. Fundamentals, vol. E86-A, pp. 1935-1941, Aug. 2003

  63. Tanaka, T. and Yamashita, Y., ``A biorthogonal transform with overlapping and non-overlapping basis functions for image coding,'' IEEE Trans. Signal Processing, vol. 51, pp. 732-743, Mar. 2003.

  64. Tanaka, T. and Yamashita, Y., ``An adaptive lapped biorthogonal transform and its application in orientation adaptive image coding,'' Signal Processing, vol. 82, pp. 1633-1647, Nov. 2002

  65. Tanaka, T. and Yamashita, Y., ``Adaptive transforms with overlapping basis functions for image coding,'' J. Electronic Imaging, pp. 706-719, July 2001

  66. Tanaka, T. and Yamashita, Y., ``Vector-embedded Karhunen-Loève transform and its application in orientation adaptive coding of images,'' IEICE Trans. Fundamentals, vol. E73-A, pp. 1257-1266, Jun. 2000

  67. Choi, H.-J., Kang, E.-S., Tanaka, T., and Ko., S.-J., ``Progressive region of interest coding using the embedded coding technique,'' the Journal of the KICS (Korean Institute of Communication Sciences), vol. 25, pp. 148-155, Jan. 2000

  68. Kang, E.-S., Tanaka, T., and Ko, S.-J., ``Improved embedded zerotree wavelet coder,'' Electronics Letters, vol. 35, pp. 705-706, Apr. 1999

  69. Kang, E.-S., Lee, T.-H., Tanaka, T., and Ko, S.-J., ``Band-selective embedded wavelet coding using multi-threshold,'' the Journal of the KICS (Korean Institute of Communication Sciences), vol. 24, pp. 707-714, 1999.