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研究業績


受賞

IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Gold Paper Award (Best Paper Award), 2012

WSEAS International Conference on Multimedia Systems and Signal Processing, Best Paper Award, 2013

Journal of Signal Processing, Best Paper Award, 2013, 2015, 2016

IEEE International Forum on Strategic Technology, Best Paper Award, 2014

IEEE International Symposium on Intelligent Signal Processing and Communication Systems, Best Paper Award, 2016

IEEE International Conference on Electrical, Computer and Communication Engineering, Best Paper Award, 2017


論文

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H.W. Mohammed and T. Shimamura,Complementary and Phase Banded LMS Equalizers for Rapidly Time-Varying Channels, Journal of Signal Processing,Vol.11,No.1,pp.51-60, 2007.1.

M.S. Rahman and T. Shimamura, Identification of ARMA Speech Models Using an Effective Representation of Voice Source, IEICE Transactions on Information and Systems,Vol.E90-D,2007

H.W. Mohammed and T. Shimamura,A Parallel Equalizer with LMS Adaptation in Discrete Cosine Transform Domain,WSEAS Transactions on Signal Processing,Issue 2, Vol.3, 2007. 2.

H. Tanaka,Y. Ohhashi and T. Shimamura,Performance of Adaptive Nonlinear Predictor with Order Statistics in Impulsive Noise,WSEAS Transactions on Signal Processing,Issue 2, Vol.3, 2007. 2.

M.S. Rahman and T. Shimamura, Linear Prediction Using Refined Autocorrelation Function, EURASIP Journal on Audio, Speech and Music Processing, Volume 2007, Article ID 45962, 9 Pages, 2007

W. Xin, K. Kondo, K. Tateno, T. Konma and T. Shimamura, “Discrete Wavelet Based Keyframe Extraction Method from Motion Capture Data”, International Journal of Asia Digital Art and Design, Vol.6, pp.11 – 18, 2007

H. Furuya, S. Eda and T. Shimamura, “Image Restoration via Wiener Filtering in the Frequency Domain”, WSEAS Transactions on Signal Processing, Issue 2, Vol.5, pp.63-73,2009.2.

M. L. R. Kahn, M. H. Wondimagegnehu and T. Shimamura, Blind Channel Equalization with Amplitude Banded Godard and Sato Algorithms, Journal of Communications, Vol.4, No.6, pp.388-395, 2009.

J. Gamba, T. Shimamura, S. Kawasaki, M. Higuchi and H. Murakami, “A Joint Iterative Estimation of Noise Variance and AR Parameters”, International Journal of Information Sciences and Computer Engineering, Vol.2, No.1, pp.1-6, 2011.

M. L. R. Khan and T. Shimamura, “Transform Domain Sato Algorithm for Blind Channel Equalization”, Journal of Signal Processing, Vol.15, No.2, pp.123-131, 2011. 3.

R. Yasmin and T. Shimamura, ”Blind Channel Equalization in Impulse Noise,” International Journal of Communications, Issue 3, Vol.5, pp.132-140, 2011. 7.

S. Sari and T. Shimamura, ”Image Restoration Based on Edgemap and Wiener Filter for Preserving Fine Details and Edges,” International Journal of Circuits, Systems and Signal Processing, Issue.6, Vol.5, pp.618-626, 2011.

R. Yasmin, S. Oikawa, Y. Tsuda and T. Shimamura, ”Amplitude-Division-Based Parallel LMS Estimation Technique for Rapidly Time-Varying Channel,” Journal of Signal Processing, Vol.15, No.5, pp.387-397, 2011. 9.

A. Saha and T. Shimamura, ”Speech Enhancement by Incorporating Speech Presence Probability Based on SNR Discrepancy,” Journal of Signal Processing, Vol.16, No.1, pp.57-65, 2012. 1.

S. Sari and T. Shimamura, ”Frequency Domain Wiener Filer for Image Denoising : Derivation of a New Power Spectrum Estimation Method,” Journal of Signal Processing, Vol.16, No.1, pp.79-85, 2012. 1.

A. Saha and T. Shimamura, ”Perceptually Motivated Bayesian Estimators with Generalized Gamma Distribution under Speech Presence Probability,” International Journal of Circuits, Systems and Signal Processing, Issue 1, Vol.6, pp.105-112, 2012.

C. Yi and T. Shimamura, ”An Improved Maximum-Likelihood Estimation Algorithm for Blind Image Deconvolution Based on Noise Variance Estimation,” Journal of Signal Processing, Vol.16, No.6, pp.629-635, 2012. 11.

M. A. F. M. Rashidul Hasan and Tetsuya Shimamura, “An Efficient Pitch Estimation Method Using Windowless and Normalized Autocorrelation Functions in Noisy Environments,” International Journal of Circuits, Systems and Signal Processing, Vol.6, Issue 3, pp.197-204, 2012.

M. A. F. M. Rashidul Hasan, M. Shahidul Rahman and Tetsuya Shimamura, “Windowless Autocorrelation Based Cepstrum Method for Pitch Extraction of Noisy Speech,” Journal of Signal Processing, Vol.16, No.3, pp.231-239, 2012.

P. K. Dhar and T. Shimamura, “A DWT-DCT-Based Audio Watermarking Method Using Singular value Decomposition and Quantization,” Journal of Signal Processing, Vol.17, No.3, pp.69-79, 2013. 5.

P. K. Dhar and T. Shimamura, “Audio Watermarking in Transform Domain Based on Singular value Decomposition and Cartesian-Polar Transformation,” International Journal of Speech Technology, Vol.17, No.2, pp.133-144, 2013. 9.

L. Liu and T. Shimamura, “A Noise Compensation LPC Method Based on Pitch Synchronous Analysis for Speech,” Journal of Signal Processing, Vol.17, No.6, pp.283-292, 2013. 11.

C. Yi and T. Shimamura, “An Improved Structure-Based Gaussian Variance Estimation Method for Noisy Images,” Journal of Signal Processing, Vol.17, No.6, pp.299-305, 2013. 11.

T. Kaneko and T. Shimamura, “Noise-Reduced Complex LPC Analysis for Formant Estimation of Noisy Speech,” International Journal of Electronics and Electrical Engineering, Vol.2, No.2, pp.90-94, 2014. 2.

A. Saha and T. Shimamura, “Noise Spectrum Estimation Based on SNR Discrepancy for Speech Enhancement,” IEICE Transactions on Information and Systems, Vol. E97-D, No.2, pp.373-377, 2014. 2.

P. K. Dhar and T. Shimamura, “Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Cartesian-Polar Transformation,” International Journal of Speech Technology, Vol.17, No.2, pp.133-144, 2014. 6.

P. K. Dhar and T. Shimamura, “Audio Watermarking Based on Eigenvalue Decomposition ,” IEICE Trans. Fundamentals, Vol.E97-A, No.12, pp.2658-2661, 2014. 12.

P. K. Dhar and T. Shimamura, “Blind SVD-Based Audio Watermarking Using Entropy and Log-Polar Transformation,” Journal of Information Security and Applications, Vol.20, pp.74-83, 2015. 2.

L. Liu and T. Shimamura, “Pitch-Synchronous Linear Prediction Analysis of High-Pitched Speech Using Weighted Short-Time Energy Function,” Journal of Signal Processing, Vol.19, No.2, pp.55-66, 2015. 3.

M. S. Rahman and T. Shimamura, “Pitch Determination from Bone Conducted Speech,” IEICE Transactions on Information and Systems, Vol. E99-D, No.1, pp.283-287, 2016. 1.

M. S. Hossain and T. Shimamura, “Low-Complexity Null Subcarrier-Assisted OFDM PAPR Reduction with Improved BER,” IEEE Communications Letters, Vol. 20, No.11, pp.2249-2252, 2016.

M. S. Hossain and T. Shimamura, “Low-Complexity Null Subcarrier-Assisted OFDM PAPR Reduction with Improved BER,” Journal of Signal Processing, Vol.21, No.1, pp.1-13, 2017.

M. A. Rahman, Y. Sugiura, T. Shimamura and H. Makinae, “LP-Based Quality Improvement of Noisy Bone-Conducted Speech,” IEEJ Trans. Electronics, Information and Systems, Vol.137, No.1, pp.197-198, 2017.


学外発表(国際学会)

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H.W. Mohammed and T. Shimamura, Discrete Cosine Transform Domain Parallel LMS Equalizer, Proceedings on WSEAS International Conference on Circuits, Systems, Signal and Telecommunications, pp.119-124, 2007. 1.

H. Tanaka, Y. Ohhashi and T. Shimamura, Adaptive Non-Linear Prediction with Order Statistics for Speech in Impulsive Noise, Proceedings on WSEAS International Conference on Circuits, Systems, Signal and Telecommunications, pp.125-129, 2007. 1.

N. Nakamura and T. Shimamura,Indirect Cross-Correlation Method for Time Delay Estimation, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.74-77, 2007. 3.

C. Tiengwattanatum, H.W. Mohammed and T. Shimamura, Magnitude Spectral Subtraction with DFTLMS Algorithm for Adaptive Line Enhancer, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.213-216, 2007. 3.

K. Kamata, K. Yamashita, T. Shimamura and T. Furukawa, Restoration of Bone-Conducted Speech with the Wiener Filter and Long-Term Spectra, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.583-586, 2007. 3.

T. Shimamura, “Performance of the Amplitude Banded LMS Equalizer on Stationary Channels”, Proceedings of IEEE International Workshop on Nonlinear Dynamics of Electronic Systems, pp. 289-292,2007.7.

T. Shimamura, “Equalization with Amplitude Banded LMS Adaptation for Stationary Channels”, Proceedings of IASTED International Conference on Signal and Image Processing, 576-205,2007.8.

S. Eda and T. Shimamura, “Image Denoising for Poisson Noise by Pixel Values Based Division and Wavelet Shrinkage”, Proceedings of International Symposium on Nonlinear Theory and Its Applications, pp.441-444 , 2007.9.

M.L.R. Khan, H.W. Mohammed and T. Shimamura, “Amplitude Banded Sato Algorithm for Blind Channel Equalization”, Proceedings of IEEE International Conference on Signal Processing and Communications, pp.1463-1466, 2007.11.

W. Xin, K. Kondo, K. Tateno, T. Konma and T. Shimamura, “Discrete Wavelet Based Keyframe Extraction Method from Motion Capture Data”, Proceedings of NICOGRAPH, 2007.

T. Shimamura, S. Eda, T. Ito, Y. Kuwano and Y. Takahashi, Wavelet Based Denoising for Images Degraded by Poisson Noise, Proceedings of IASTED International Conference on Biomedical Engineering, pp.436-440,2008.2.

N. Nakamura and T. Shimamura, “Iterative Cross-Correlation Method for Time Delay Estimation”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.387-390 , 2008. 3.

S. Iijima and T. Shimamura, “Bone-Conducted Speech for Speaker Verification”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.172-175 , 2008. 3.

T. Sugiyama, T. Shimamura and H. Yashima, “Quality Improvement of Bone-Conducted Speech Using Linear Prediction Analysis Filter”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.291-294 , 2008. 3.

S. Jimaa, T. Shimamura and H. Takekawa, “Convergence Evaluation of a Variable Step-Size LMSE Adaptive Switching Algorithm”, Proceedings of IEEE International Networking and Communications Conference, pp. 23-26,2008.5.

T. Shimamura, S. Oikawa S and Y. Tsuda, “Amplitude-Division Parallel LMS Estimator”, Proceedings of IEEE International Midwest Symposium on Circuits and Systems, pp.950-953, 2008.8.

C. Tiengwattanatum, N. Nakamura and T. Shimamura, “Adaptive Line Enhancer for Time Delay Estimation of Ultrasonic Echoes”, Proceedings of International Symposium on Communications and Information Technologies,pp.368-371, 2008. 10.

H. Takekawa, T. Shimamura and S. Jimaa, “An Efficient and Effective Variable Step Size NLMS Algorithm”, Proceedings of Asilomar Conference on Signals, Systems and Computers, pp.1640-1643,2008.10.

B. Derebssa and T. Shimamura, “High Pitch Source Isolation Using Complex Cepstrum in the Autocorrelation Domain”, Proceedings of IEEE Asia Pacific Conference on Circuits and Systems, pp.1284-1287, 2008.11.

M.L.R. Khan, M.H. Wondimagegnehu and T. Shimamura, “Amplitude Banded Technique and Parallel Structure for Godard and Sato Algorithms of Blind Channel Equalization”, Proceedings of International Conference on Computer and Information Technology, pp.768-772 , 2008.12.

H. Furuya, S. Eda and T. Shimamura, “Image Restoration via Wiener Filtering with Improved Noise Estimation”, Proceedings of WSEAS International Conference on Signal Processing, Robotics and Automation, pp.315-320,2009.2.

K. Tashiro and T. Shimamura, “Dual Adaptive Pre-Whitening Filters for LMS Algorithm”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.1-4,2009. 3.

N. Nakamura, T. Ikeda and T. Shimamura, “Time Delay Estimation of Arrival and Spectrum Subtraction for Acoustic Dual-Microphone Systems”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.165-168,2009. 3.

T. Shimamura, “Equalization of Time-Variant Communications Channels via Adaptive AR Prefiltering”, Proceedings of WRI World Congress on Computer Science and Information Engineering,pp.327-331 , 2009. 3.

B. D. Dufera and T. Shimamura, Reverberated Speech Enhancement Using Neural Networks, Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp.441-444 (2009).

S. A. Jimaa, A. Al-Simiri, R. M. Shubair and T. Shimamura, Convergence Evaluation of Variable Step-Size NLMS Algorithms in Adaptive Channel Equalization, Proceedings of IEEE International Symposium on Signal Processing and Information Technology, pp.145-150 (2009).

S. Suhaila and T. Shimamura, Power Spectrum Estimation Method for Image Denoising by Frequency Domain Wiener Filter, Proceedings of IEEE International Conference on Computer and Automation Engineering, pp.608-612 (2010).

A. Saha and T. Shimamura, Noise Spectrum Estimation Based on Optimum Smoothing for Robust Speech Enhancement, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.293-296 (2010).

C. Tiengwattanatum and T. Shimamura, Utilization of Adaptive Line Enhancement and Noise Compensation for Time Delay Estimation, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.524-527 (2010).

H. Takekawa, T. Shimamura and S. Irie, Digital Notch Filter for Noise Reduction in Automatic Train Control System, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.536-539 (2010).

T. Arnantapunpong, T. Shimamura and S. A. Jimaa, A New Variable Step Size for Normalized LMS Algorithm, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.584-587 (2010).

K. Tashiro and T. Shimamura, A Lattice Based Fast Adaptive Algorithm, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing, pp.624-627 (2010).

S. Suhaila and T. Shimamura, “A Thresholding-Based Image Denoising Method”, Proceedings of World Academy of Science and Technology, Vol.65, pp.911-916, 2010. 5.

R. Yasmin and T. Shimamura, “Tracking by Nonuniform Amplitude Division Based LMS Algorithm for Time Varying Channels”, Proceedings of IEEE International Symposium on Circuits and Systems, pp.2852-2855, 2010.5.

N. Yamasaki and T. Shimamura, “Accuracy Improvement of Speaker Authentication in Noisy Environments Using Bone-Conducted Speech”, Proceedings of IEEE International Midwest Symposium on Circuits and Systems, pp.197-200, 2010.8.

M. S. Rahman and T. Shimamura, “Pitch Characteristics of Bone Conducted Speech,” Proceeding of European Signal Processing Conference (EUSIPCO), pp. 795-798, 2010. 8.

M. S. Rahman and T. Shimamura, “Pitch Determination Using Autocorrelation Function in Spectral Domain”, Proceedings of INTERSPEECH 2010, pp.653-656, 2010.9.

T. Shimamura and N. N. Dinh, “Autocorrelation and Double Autocorrelation Representations for a Noisy Word Recognition System”, Proceedings of INTERSPEECH 2010, pp.1712-1715, 2010.9.

R. Yasmin and T. Shimamura, “Time-Varying Channel Estimation Using Amplitude-Division Based Parallel NLMS Technique”, Proceedings of IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, pp.580-585,2010.10.

T. Akasaka and T. Shimamura, “Noise Estimation Based on Series Expansion of Orthogonal Functions”, Proceedings of IEEE International Conference on Signal Processing, pp.115-118,2010.10.

S. A. Jimaa and T. Shimamura, “Convergence Evaluation of a Random Step-Size NLMS Adaptive Algorithm in System Identification”, Proceedings of IEEE International Conference on Signal Processing, pp.135-138,2010.10.

M. A. F. M. Rashidul Hasan, M. Shahidur Rahman and T. Shimamura, “Pitch Determination Using Windowless Autocorrelation Based Cepstrum Method”, Proceedings of APSIPA Annual Summit and Conference 2010, pp.514-517, 2010. 12.

C. Abe and T. Shimamura, “Iterative Edge-Preserving Adaptive Wiener Filter for Image Denoising”, Proceedings of IEEE International Conference on Signal Acquisition and Processing, pp.V1-168-V1-172,2011.2.

S. Motegi and T. Shimamura, “Extended Fundamental Frequency Extraction Using Exponentiated Amplitude Spectrum with Band-Limitation”, Proceedings of IEEE International Conference on Signal Acquisition and Processing, pp.V1-168-V1-172,2011.2.

T. Yokose and T. Shimamura, “Performance Improvement of MUSIC by AR Model Based Data Extension”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.276-279,2011. 3.

L. Liu and T. Shimamura, “Noise Reduction Based on Pitch Synchronous Addition and Subtraction for LPC Analysis”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.348-351,2011. 3.

A. Matsukawa and T. Shimamura, “Noise Estimation Using Only Current Frame of Speech for Spectral Subtraction”, Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing,pp.425-428,2011. 3.

R. Yasmin and T. Shimamura, ”Impulse Noise Suppression in Blind Channel Equalization,” Proceedings of WSEAS International Conference on Signal Processing, pp.194-200, 2011. 5.

K. Osa, M. S. Rahman and T. Shimamura, ”Speech Enhancement Using Comb Filter Designed from Bone Conducted Speech,” Proceedings of IEICE International Conference on Circuits / Systems, Computers and Communications, pp.271-274, 2011. 6.

T. Shimamura, A. Saha, M. Mori, Y. Ogawa and M. Sakai, ”Spectral Subtraction for Rain Clutter Suppression,” Proceedings of IEICE International Conference on Circuits / Systems, Computers and Communications, pp.1221-1223, 2011. 6.

S. Sari and T. Shimamura, ”Edgemap-Based Wiener Filtering for Preserving Image Fine Details and Edges,” Proceedings of WSEAS International Conference on Systems, pp.264-269,2011.7.

M. S. Rahman and T. Shimamura, ”Intelligibility Enhancement of Bone Conducted Speech by an Analysis-Synthesis Method,” Proceedings of IEEE Midwest Symposium on Circuits and Systems, pp.1-4, 2011. 8.

M. S. Rahman, A. Saha and T. Shimamura, ”Low-Frequency Band Noise Suppression Using Bone Conducted Speech,” Proceeding of IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, pp.520-525, 2011. 8.

A. Saha and T. Shimamura, ”Weighted Log-Spectral Amplitude Estimation with Generalized Gamma Distribution under Speech Presence Probability,” Proceedings of EURASIP Signal Processing and Applied Mathematics for Electronics and Communications Workshop, pp.37-40, 2011. 8.

A. Saha and T. Shimamura, ”Speech Enhancement Using Masking Properties in Adverse Environments,” Proceedings of INTERSPEECH, pp.1213-1216, 2011. 8.

A. Saha and T. Shimamura, ”Generalized Gamma Distributed Bayesian Estimator under Speech Presence Probability,” Proceedings of WSEAS International Conference on Applied Computer Sciences, pp.118-123, 2011. 10.

C. Yi and T. Shimamura, ”A Blind Image Deconvolution Method Based on Noise Variance Estimation and Blur Type Reorganization,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, PID235, 2011.12.

M. Narita and T. Shimamura, ”Exponentiated Enhancement for Fundamental Frequency Extraction of Noisy Speech,” Proceeding of IEEE International Symposium on Signal Processing and Information Technology, pp.342-346, 2011. 12.

M. A. F. M. Rashidul Hasan and T. Shimamura, ”A Fundamental Frequency Extraction Method Based on Windowless and Normalized Autocorrelation Functions,” Proceedings of WSEAS International Conference on Circuits, Systems, Signal and Telecommunications, pp.305-309, 2012. 1.

T. Kina and T. Shimamura, ”Fundamental Frequency Extraction of Speech in Time-Varying Noise,” Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing,pp.325-328,2012. 3.

D. Shimizu, T. T. Shimamura. Wakutsu and A. Sugawara, ”Harmonics Estimation for Reducing Return Current Noise in Automatic Train Control Systems,” Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing,pp.647-650,2012. 3.

P. K. Dhar and T. Shimamura, “An Audio Watermarking Scheme Using Discrete Fourier Transformation and Singular Value Decomposition,” Proceedings of IEEE International Conference on Telecommunications and Signal Processing, pp.789-794, 2012.7.

S. Suhaila and T. Shimamura, ”Fast Wiener Filter-Based Denoising for Fine Details and Edges Preservation in the Blind Condition,” Proceedings of IEEE Midwest Symposium on Circuits and Systems, pp.498-501, 2012. 8.

T. Shimamura and A. Matsukawa, “Time-Varying Noise Estimation Using Only Current Frame for Spectral Subtraction,” Proceedings of WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision, pp.80-83, 2012. 8.

A. Saha and T. Shimamura, ”Speech Enhancement with Bivariate Gamma Model,” Proceedings of INTERSPEECH, pp.1-4, 2012. 9.

A. Iwagami and T. Shimamura, “Noise Cancellation Process for Automatic Train Protection (ATP), “ Proceedings of International Symposium on Speed-up, Safety and Service Technology for Railway and MAGLEV Systems, pp.1-7, 2012. 9.

S. Sari, H. Roslan and T. Shimamura, ”Noise Estimation by Utilizing Mean Deviation of Smooth Region in Noisy Image,” Proceedings of IEEE International Conference on Computational Intelligence, Modelling and Simulation, pp.1-5, 2012.9.

P. K. Dhar and T. Shimamura, “Audio Watermarking in Transform Domain Based on Singular Value Decomposition and Quantization,” Proceedings of IEEE Asia-Pacific Conference on Communications, pp.516-521, 2012.10.

S. Jimaa, S. Alaraji, A. Al-kabi and T. Shimamura, “Impulse Noise Reduction Using Adaptive Receiver Structure Technique,” Proceedings of IEEE International Conference on Signal Processing, pp.119-122, 2012. 10.

T. Kato and T. Shimamura, “Consonant Behavior of Bone Conducted Speech in Japanese,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp.485-488, 2012. 11.

G. Hirano and T. Shimamura, “A Modified IPNLMS Algorithm Using System Sparseness,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp.876-879, 2012. 11.

L. Liu and T. Shimamura, “Pink Noise Whitening Method for Pitch Synchronous LPC Analysis,” Proceedings of APSIPA Annual Summit and Conference, pp.1-6, 2012. 12.

C. Yi and T. Shimamura, “Improved Structure-Based Noise Variance Estimation for Noisy Images,” Proceedings of IEEE International Symposium on Signal Processing and Information Technology, pp.1-5, 2012. 12.

A. Saha, S. Ogata, Y. Mitsumori, M. Shahidur Rahman and T. Shimamura, “Speech Enhancement Using a Priori SNR: Dependency on Multitaper Spectrum Estimation,” Proceedings of International Conference on Engineering, Research, Innovation and Education, pp.1-7, 2013. 1.

S. Sari, H. Roslan and T. Shimamura, “Denoising by Utilizing Mean Deviation of Image’s Smooth Region,” Proceedings of WSEAS International Conference on Multimedia Systems and Signal Processing, pp.194-198, 2013.4.

P. K. Dhar and T. Shimamura, “An SVD-Based Audio Watermarking Using Variable Embedding Strength and Exponential-Log Operations,” Proceedings of IEEE International Conference on Informatics, Electronics and Vision, 6 pages, 2013.5.

P. K. Dhar and T. Shimamura, “Entropy-Based Audio Watermarking Using Singular Value Decomposition and Log-Polar Transform,” Proceedings of IEEE Midwest Symposium on Circuits and Systems, pp.1224-1227, 2013. 8.

T. Shimamura and C. Abe, “Whitening Poisson Noise on Images,” Proceedings of IEICE International Workshop on Smart Info-Media Systems in Asia, pp.317-322, 2013. 10.

K. Isono and T. Shimamura, “Exponetiated Combination of Tow Scores for Image Quality Assessment,” Proceedings of IEEE Region 10 Conference, 4 pages, 2013. 10.

M. S. Rahman and T. Shimamura, “A Study on Amplitude Variation of Bone Conducted Speech Compared to Air Conducted Speech,” Proceedings of APSIPA Annual Summit and Conference, 5 pages, 2013. 11.

K. Honma and T. Shimamura, “Constellation Folding for Sub-Optimum Maximum-Likelihood Method in Blind Modulation Detection,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp.103-107, 2013. 11.

T. Shimamura and T. Yokose, “AR-Model-Based Data Extension to Improve the performance of MUSIC,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, pp.458-461, 2013. 11.

C. Yi and T. Shimamura, “Difference Eigenvalue Based Gaussian Noise Variance Estimation for Images,” Proceedings of WSEAS International Conference on Applied Computer Science, pp.27-33, 2014. 1.

T. Kaneko and T. Shimamura, “Noise-Reduced Complex LPC Analysis for Formant Estimation of Noisy Speech,” Proceedings of International Conference on Advanced in Electronics Engineering, 5 pages, 2014. 2.

F. Kato and T. Shimamura, “Speech Enhancement with a Reversed Comb Filter in Non-Stationary Noise Environments,” Proceeding of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2014. 3.

S. Handa and T. Shimamura, High-Pitched Speech Analysis by System Identification Approach,” Proceeding of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2014. 3.

M. Shimozaki, C. Yi and T. Shimamura, A Performance Comparison of Some Image Denoising Methods,” Proceeding of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2014. 3.

N. Benamirouche, B. Boudraa, T. Shimamura and P.K. Dhar, “Improved Packets Loss Concealment in Speech Coding by Data Hiding,” Proceedings of IEEE International Conference on Advanced Technologies for Signal and Image Processing, pp.476-479, 2014. 3.

P.K.Dhar and T. Shimamura, “A Blind SVD-Based Audio Watermarking Using Entropy and Log-Polar Transformation,” Proceedings of IEEE International Symposium on Circuits and Systems, pp.125-128, 2014. 6.

T. Arnantapunpong and T. Shimamura, “Direction-of-Arrival Estimation for Smart Antenna Using MUSIC Algorithm with Data Extension,” Proceedings of International Technical Conference on Circuits / Systems, Computers and Communications, pp.75-78, 2014. 6.

S. Jimaa, L. Weruaga, A. Sadiq, H. Alhammadi and T. Shimamura, “A Fast Converging Improved NLMS Algorithm for Sparse System’s Identification,” Proceedings of International Symposium on Nonlinear Theory and Its Applications, pp676-679, 2014.9.

P. K. Dhar and T. Shimamura, “Image Watermarking in LWT Domain Based on Nonnegative Matrix Factorization and Singular Value Decomposition,” Proceedings of IEEE International Forum on Strategic Technology, pp.144-147, 2014.10.

Y. Iwai and T. Shimamura, “Formant Frequency Estimation with Windowless Autocorrelation in the Presence of Noise,” Proceedings of IEEE Asia Pacific Conference on Circuits and Systems, pp.81-84, 2014. 11.

M. Toyoshima and T. Shimamura, “Packet Loss Concealment for VoIP Based on Pitch Waveform Replication and Linear Predictive Coding,” Proceedings of IEEE Asia Pacific Conference on Circuits and Systems, pp.89-92, 2014. 11.

L. Liu and T. Shimamura, “Linear Prediction Analysis of Crosscorrelation Sequence for Voiced Speech,” Proceedings of APSIPA Annual Summit and Conference, pp.1-4, 2014. 12.

K. Honma and T. Shimamura, “Efficient Blind Modulation Detection Using Sub-optimum Maximum Likelihood Function in Multiple Antennas,” Proceeding of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 2015. 3.

T. Shimamura and F. Kato, “Combination of Bone-Conducted Speech with Air-Conducted Speech Changing Cut-Off Frequency,” Proceedings of WSEAS International Conference on Acoustics, Speech and Audio Processing, pp.142-147, 2015. 6.

E. Abe and T. Shimamura, “Utilization of Exponentiated Amplitude Spectrum for Speech Enhancement in Highly Noisy Environments,” Proceedings of IEEE Midwest Symposium on Circuits and Systems, 4 pages, 2015. 8.

E. Abe and T. Shimamura, “Speech Enhancement with p-th Power Amplitude Spectrum in Highly Noisy Environments,” Proceedings of IEICE International Workshop on Smart Info-Media Systems in Asia, pp.90-93, 2015. 8.

M. S. Hossain and T. Shimamura, “PAPR Reduction of OFDM Through Pilot Shifting,” Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp.179-184, 2015. 9.

Y. Iwai and T. Shimamura, “Speech Enhancement with Zero Replacement Signal at Low SNR,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communications Systems, pp.143-147, 2015. 11.

H. Chu and T. Shimamura, “A New PTS Method for OFDM Signals without Side Information Based on Constellation Reshaping,” Proceedings of IEEE Annual Conference on Information Science and Systems, pp.222-227, 2016. 3.

K. Ishiyama, Y. Sugiura and T. Shimamura, “Optimized Three Scores Combination for Image Quality Assessment,” Proceedings of IEEE Asia Pacific Conference on Circuits and Systems, pp.5-8, 2016.

E. Ogawa, Y. Sugiura and T. Shimamura, “Narrowband Interference Suppression with Symbol Interleaving for UWB Communication Systems,” Proceedings of IEEE Asia Pacific Conference on Circuits and Systems, pp.172-175, 2016.

S. Asawa, Y. Sugiura and T. Shimamura, “Speech Envelope Estimation and Voiceless Consonant Restoration for Artificial Bandwidth Extension of Narrow Band Speech,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 6 Pages, 2016.

K. Mitani, Y. Sugiura and T. Shimamura, “Cross-Correlation Functions with Binary Signal Involving Phase Information for Speech Enhancement,” Proceedings of IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 5 Pages, 2016.

M. Ogura, Y. Sugiura and T. Shimamura, “SVD Based Audio Watermarking Using Angle-Quantization,” Proceedings of IEEE International Conference on Electrical, Computer and Communication Engineering, 2017.

T. Zhou, Y. Sugiura and T. Shimamura, “Iterative Extended Spectral Subtraction for Restoration from Image Degraded by White Noise,” Proceedings of IEEE International Conference on Electrical, Computer and Communication Engineering, 2017.

S. Zhang, Y. Sugiura, T. Shimamura and H. Makinae, “Fundamental Frequency Estimation Combining Air-Conducted Speech with Bone-Conducted Speech in Noisy Enviroments,” Proceedings of IEEE International Conference on Electrical, Computer and Communication Engineering, 2017.

I. Sikder, P. K. Dhar and T. Shimamura, “A Semi-Fragile Watermarking Method Using Slant Transform and LU Decomposition for Image Authentication,” Proceedings of IEEE International Conference on Electrical, Computer and Communication Engineering, 2017.

M. Hijikata, Y. Sugiura and T. Shimamura, “Musical Noise Suppression for Spectral Subtraction Using Histogram of Power Spectrum,” Proceeding of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 4 Pages, 2017. 3.

M. Geng, Y. Sugiura and T. Shimamura, “Noise Subtraction and Pitch Synchronous Addition for LPC Analysis of Noisy Speech,” Proceeding of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing, 4 Pages, 2017. 3.


著書

高橋進一,島村徹也,2001,一次元ディジタル信号処理の基礎 (電気・電子・情報工学系テキストシリーズ),培風館

池原雅章,島村徹也,2004,MATLABマルチメディア信号処理〈上〉ディジタル信号処理の基礎,培風館

池原雅章,島村徹也真田幸俊,2004,MATLABマルチメディア信号処理〈下〉音声・画像・通信,培風館


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