研究業績 – 島村研究室

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 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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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.

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. 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. 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.

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.

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.

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, “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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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.

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. 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.

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．

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

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

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.

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.

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，Complementary and Phase Banded LMS Equalizers for Rapidly Time-Varying Channels， Journal of Signal Processing，Vol.11，No.1，pp.51-60, 2007．1．

学外発表（国際学会）

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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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. 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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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. 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．

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.

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

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．

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.

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.

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．

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．

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.

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.

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．

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.

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, ”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.

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.

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.

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．

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.

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.

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．

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．

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．

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．

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．

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．

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.

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．

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．

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. 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．

M. S. Rahman and T. Shimamura, “Pitch Determination Using Autocorrelation Function in Spectral Domain”, Proceedings of INTERSPEECH 2010, pp.653-656, 2010．9．

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

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．

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．

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．

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).

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).

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).

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).

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).

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).

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).

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).

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．

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．

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．

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．

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．

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．

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．

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．

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．

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. 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. 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．

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．

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．

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.

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．

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．

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．

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．

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．

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．

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.

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.

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.

著書

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

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

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

学位論文

学士論文

2024年度	鶴賀大	生成モデルを用いた低線量CT画像のノイズ除去に関する研究
	大沼優希人	StereoLCM：LCMを用いたステレオ画像生成の高速化
	人見一也	深層学習を用いたフィードバック型ANCの軽量化
	藁谷友希	音声合成における音響特徴量エンコーダの重要性の評価
	半澤恭介	自己教師あり学習による未知の音声データに対する音声強調性能の改善
2023年度	大澤弘明	スパース信号処理とコサイン類似度を用いた和音名推定
	鈴木皓太	工場騒音に特化した超軽量音声強調システムの提案
	仲野天真	養豚環境下における子豚の鳴き声に関する音響特徴量の抽出
	滑川翔介	周波数領域能動騒音制御の消音性能の改善
	羽田蒼生	周波数領域における能動騒音制御の実機実装
	益子陸	Pixel ShuffleとFP16を用いた動画雑音除去法の高速化
2022年度	原田隼太朗	パターン情報の特徴に基づいた伴奏生成手法の検討
	野口凌汰	狭帯域騒音制御のための周波数領域を用いたフィードバック型能動騒音制御
	吉良青空	音声による感情推定に最適な特徴量の検討
	菊池陽香	次世代自動車の接近通報音に対する印象の要因に関する検討
	北条拓巳	和音進行の出現確率を考慮した和音名推定手法の検討
	船橋尚将	独立成分分析を用いた自動変調分類器の精度向上
2021年度	八幡寿弥	加工気導音聴取による自己聴取音と気導音間の差異の低減
	宮本周	AMeDASデータを利用した適応変調方式・符号化率選択による高効率衛星通信
	篠田開斗	スパース通信路に対するブラインド推定手法の検討
	中野渡駿	振幅変動音における振幅包絡の形状と変動感の関係
	落合亮	グラフ信号処理を用いたエッジ画像における特徴量抽出
	長島せりあ	Transformerを用いた画像中の物体の一部の補間
	春日玲人	カプセル構造を加えた音声強調ネットワークの性能改善
2020年度	加瀬裕大	アテンション機構によるテキスト音声合成手法の発話自然性の改善
	髙橋慶多	次世代自動車の接近通報音に対する認知容易性の評価手法の検討
	高橋昂大	アンサンブルのための伴奏パート編曲における演奏しやすさ評価方法の検討
	利根川涼介	マスク結合と切り抜き画像を用いたCNN画像品質評価システムの改善
	永盛舜太	時間依存のない特徴量を用いた音声強調DNNモデルの性能改善
	村上頌	ギターの和音演奏における和音名推定手法の検討
2019年度	町田航	AWGNチャネルにおける雑音分散を用いないブラインド変調検出
	明岡啓哉	TV正則を加えたスパース画像表現による雑音除去
	武藤和希	2次元畳み込みネットワークによるピアノ多重音の音高認識
	廣野光星	カプセルネットワークを用いた音声認識
	穴久保一輝	実環境を想定した次世代自動車接近通知音の認知距離評価法の提案
2018年度	池上征人	サブバンド分解と重み付けを用いたk-SVDによる画像の雑音除去
	鎌田拓也	周期騒音のための能動騒音制御法に関する一検討
	堺井慶太	VQ-VAEによる音声復元精度の改善
	佐久間南海	潜在変数正則化によるDNNを用いた音声強調法の改善
	澤村勇斗	順序統計量を用いた畳み込みニューラルネットワーク
2017年度	森康一	適応OFDM環境下での伝送路特性を考慮した深層学習によるブラインド変調検出
	光井勇人	自動採譜における音高，発音時刻推定における検討
	富永直樹	深層ニューラルネットワークを用いた音声強調の性能改善
	野口陽太	深層ニューラルネットワークを用いた客観的画像品質評価スコアの組み合わせ
	岩元貴哉	骨導音声のためのフォルマント周波数推定法の改善
2016年度	一條慧	適応OFDMの変調検出における雑音分散を考慮した準最適最尤推定法の開発
	今野遼太郎	MIMOにおける雑音分散を考慮したQRM-MLD法の性能改善
	鈴木良啓	雑音に頑強な話者認識のための基本周波数を用いた深層ニューラルネットワーク
	高嶋渉	楽器認識における畳み込みニューラルネットワークの構造に関する基礎調査
	渡邊大貴	骨導音声の品質改善のための深層ニューラルネットワークの構造の検討
2015年度	浅和駿	スペクトル包絡情報を利用する狭帯域音声の帯域拡張
	石山啓	3種類の評価値を併用した客観的画像品質評価
	小川永策	シンボルインタリーブによるUWB通信における狭帯域干渉軽減
	上村響	骨導音声のための発話内容・話者に依存しないフィルタ設計
	三谷恭平	相互相関関数へ位相を付与した音声強調

修士論文

2024年度	笠倉陸	位相変調に基づく電子透かしを用いた到来時間差推定の品質向上
	吉良青空	不明瞭音声の文字認識率向上と明瞭音声の合成
	船橋尚将	マルチタスク型自動変調分類の軽量化手法の検討
	原田隼太朗	ChatGPTを用いた楽曲生成AIへのプロンプト最適化
	北条拓巳	ギター演奏評価システムのためのデータセット作成およびモデル構築
	野口凌汰	重みづけ周波数領域FxLMSを用いたフィードバック能動騒音制御
	池田尚騎	テキストプロンプトによる楽器パート単位の楽曲編集AI
	LIN YIFENG	スマートフォンの加速度センサを用いた音声強調
2023年度	安彦拓海	航空写真を用いた写真画像に対する条件付き画像補完ネットワーク
	春日玲人	音声強調性能改善に向けたデータ拡張手法の改良
	山本和弥	複数スピーカにおけるGCC‑PHAT法に基づく到来時間差推
	宮本周	帯域制御を応用した衛星通信のACM効率化
	篠田開斗	フィギュアスケートのジャンプ回転判定アルゴリズム
	八幡寿弥	特定方向からの高騒音に対する音源分離を用いた能動騒音制御
	落合亮	グラフ信号処理を用いたエッジ抽出とその応用
	長島せりあ	単眼画像を用いた視差画像生成ネットワークの検討
	佐藤悠	柔軟な音声合成のための顔型拡散モデルを使用した音声パラメータ化
2022年度	新明直斗	制約付きボルツマンマシンを用いた歌唱評価モデルの構築
	利根川涼介	印刷品質評価のための主観評価データセットの作成
	村上頌	倍音による影響を考慮したギターの和音名認識方法
2021年度	町田航	マルチタスク学習を用いたSNR推定に基づく自動変調分類
	武藤和希	回帰ユニット付きAttentionを用いたインスタンスセグメンテーションによる自動採譜
	YUWEN TAI	Two-Stage Filter Response Normalization Network for Real Image Denoising
2020年度	鎌田拓也	適応ノッチフィルタを用いた複数周期騒音の能動制御
	堺井慶太	柔軟な声質変換のための声質パラメータ抽出
	澤村勇斗	ミリ波レーダを用いたモデルベースの車両位置・方向推定
	髙杉陸	狭帯域騒音制御のための線形予測器を用いた能動騒音制御
	光井勇人	ソースフィルタ型音声合成の敵対的学習による最適化
	佐久間南海	雑音抑制性能向上に向けた深層学習を用いた音声強調法
2019年度	富永直樹	音声の分布を考慮した深層学習による音声強調
2019年度	森康一	画像補完ネットワークのためのエッジ情報に基づく敵対的学習機
2018年度	一條慧	ノンパラメトリックな尤度関数によるブラインド変調検出
	今野遼太郎	MIMOにおけるスパース通信路のためのブラインド推定法
	鈴木良啓	ミリ波レーダーを用いた車両位置推定システム
	高嶋渉	適応ビームフォーミングによる音声強調法の性能改善
	杜思聡	雑音環境下での高精度基本周波数抽出のためのゼロ置換音声強調法を用いたラグ窓法の改善
2017年度	浅和駿	無声子音区間検出と狭帯域音声の帯域拡張
	石山啓	客観的画像品質評価法の簡略化と性能改善
	小川永策	無線通信におけるシンボル予測を用いた狭帯域干渉軽減
	上村響	マイクロホンアレイを用いた音声強調の改善手法に関する研究
	三谷恭平	窓なし重み付き自己相関法を用いた基本周波数推定およびNon-Local Meansを用いた音声強調
2016年度	小椋理人	オーディオ電子透かしの特性改善に関する研究
	土方正和	パワースペクトルのヒストグラムを用いたミュージカルノイズの抑圧手法の提案
	耿明月	Noise Subtraction and Pitch Synchronous Addition for LPC Analysis of Noisy Speech
	張詩銘	雑音環境下での高精度な基本周波数抽出のための気導音声および骨導音声の同時利用
	周天洋	雑音重畳画像からの復元のための反復拡張スペクトル引き算法
2015年度	岩井優	高雑音環境下における零置換信号を用いた音声強調
	豊島雅大	線形予測によるパケットロス隠蔽の特性改善とその性能評価
	半田俊介	骨導音声でのスペクトル包絡の重要性と深層学習を用いた明瞭度改善手法の検討
	CHU HONGXIANG	PTS Method for PAPR Reduction Without Side Information in OFDM Systems