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論文

論文
Horita, Akihide ; Nakayama, Kenji ; Hirano, Akihiro ; Dejima, Yasuhiro
出版情報: IEEE International Conference on Neural Networks - Conference Proceedings, IJCNN2006, Vancouver.  pp.7642-7649,  2006-07-01.  IEEE = Institute of Electrical and Electronics Engineers
URL: http://hdl.handle.net/2297/18165
概要: 金沢大学理工研究域 電子情報学系<br />Source separation and signal distortion are theoretically analyzed for the FF-BSS systems im plemented in both the time and frequency domains and the FB-BSS system. The FF-BSS systems have some degree of freedom, and cause some signal distortion. The FB-BSS has a unique solution for complete separation and distortion free. Next, the condition for complete separation and distortion free is derived for the FF-BSS systems. This condition is applied to the learning algorithms. Computer simulations by using speech signals and stationary colored signals are carried out for the conventional methods and the new learning algorithms employing the proposed distortion free constraint. The proposed method can drastically suppress signal distortion, while maintaining high separation performance. The FB-BSS system also demonstrates good performances. The FF-BSS systems and the FB-BSS system are compared based on the transmission time difference in the mixing process. Location of the signal sources and the sensors are rather limited in the FB-BSS system. © 2006 IEEE. 続きを見る
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論文
Nakayama, Kenji
出版情報: Proceedings of the IEEE ISCAS '82, Rome.  pp.354-357,  1982-05-01.  IEEE = Institute of Electrical and Electronics Engineers / ISCAS 1982
URL: http://hdl.handle.net/2297/18980
概要: 金沢大学理工研究域 電子情報学系
3.

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論文
Kuranishi, Yoshiaki ; Nakayama, Kenji ; Miyadera, Kazuyuki
出版情報: Proceedings of the IEEE ISSCC '84, New York.  pp.112-113,  1984-02-01.  IEEE = Institute of Electrical and Electronics Engineers / ISSCC 1984
URL: http://hdl.handle.net/2297/18981
概要: 金沢大学理工研究域 電子情報学系
4.

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論文
Atse, Yapi ; Nakayama, Kenji ; Ma, Zhiqiang
出版情報: IEICE transactions on fundamentals of electronics, communications and computer sciences.  E78-A  pp.1576-1588,  1995-11-25.  IEICE transactions on fundamentals of electronics, communications and computer
URL: http://hdl.handle.net/2297/18368
概要: 金沢大学理工研究域 電子情報学系<br />Single-reference and multi-reference noise canceller (SRNC and MRNC) performances are invest igated based on correlation between signal and noise. Exact relations between these noise canceller performances and signal-noise correlation have not been well discussed yet. In this paper, the above relations are investigated based on theoretical, analysis and computer simulation. The normalized LMS (NLMS) algorithm is employed. Uncorrelated, partially correlated, and correlated signal and noise combinations are taken into account. Computer simulation is carried out, using real speech, white noise, real noise sound, sine wave signals, and their combinations. In the SRNC problem, spectral analysis is applied to derive the canceller output power spectrum. From the simulation results, it is proven that the SRNC performance is inversely proportional to the signal-noise correlation as expected by the theoretical analysis. From the simulation results, the MRNC performance is more sensitive to the signal-noise correlation than that of SRNC. When the signal-noise correlation is high, by using a larger number of adaptive filter taps, the noise is reduced more, and, the signal distortion is increased. This means the signal components included in the noise are canceled exactly. 続きを見る
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論文
Rebolledo Méndez, Jovan David ; Nakayama, Kenji
出版情報: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).  5208 LNAI  pp.533-534,  2008-01-01.  Springer Verlag (Germany)
URL: http://hdl.handle.net/2297/12192
概要: 金沢大学理工研究域電子情報学系<br />A Natural Language Generation (NLG) engine is proposed based on the combination of NLG and Ex pert Systems. The combination of these techniques paves the way to employ user defined behaviors in virtual worlds as inputs to an expert system. Adaptive Algorithms can then be used to retrieve information from the Internet to give feedback to the user via the NLG engine. The combination of these AI techniques can bring about some benefits such as believability in the interaction between AI-driven and human-driven avatars in virtual worlds. © 2008 Springer-Verlag Berlin Heidelberg. 続きを見る
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論文
Nakayama, Kenji ; Tonomura, Masanobu
出版情報: 1990 Proceeding of International Symposium on Information Theory and Its Applications, Hawaii.  pp.639-642,  1990-11-01.  IEEE = Institute of Electrical and Electronics Engineers / IEICE - Institute of Electronics, Information and Communication Engineers
URL: http://hdl.handle.net/2297/18968
概要: 金沢大学理工研究域 電子情報学系
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論文
Xu, Qun ; Nakayama, Kenji
出版情報: Proceedings of the 14th Int. Conf. on Pattern Recognition (ICPR'98), Queensland, Australia.  pp.21-23,  1998-10-01.  Institute of Electrical and Electronics Engineers (IEEE)
URL: http://hdl.handle.net/2297/11897
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論文
Nakayama, Kenji ; Inagaki, Kiyoto
出版情報: 2006 International Symposium on Intelligent Signal Processing and Communications,, ISPACS2006, Yonago, Japan.  pp.673-676,  2006-12-01.  IEEE = Institute of Electrical and Electronics Engineers
URL: http://hdl.handle.net/2297/18166
概要: Brain Computer Interface (BCI) is one of hopeful interface technologies between human and machine. However, brain waves are very weak and there exist many kinds of noises. Therefore, what kinds of features are useful, how to extract the useful features, how to suppress noises, and so on are very important. On the other hand, neural networks are very useful technology for pattern classification. Especially, multilayer neural networks trained through the error back-propagation algorithm have been widely used in a wide variety of field. In this paper, the neural network is applied to the BCI. Amplitude of the FFT of the brain waves are used for the input data. Several kinds of techniques are introduced in this paper. Segmentation along the time axis for fast response, nonlinear normalization for emphasizing important information with small magnitude, averaging samples of the brain waves for suppressing noise effects and reduction in the number of the samples for achieving a small size network, and so on are newly introduced. Simulation was carried out by using the brain waves, which are available from the web site of Colorado state university. The number of mental tasks is five. Ten data sets for each mental task are prepared. Among them, 9 data sets are used for training, and the rest one data set is used for testing. Selection of the one data set for testing is changed and accuracy of the correct classifications are averaged over the possible selections. Approximately, 80% of correct classification of the brain waves is obtained, which is higher than the conventional. © 2006 IEEE. 続きを見る
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論文
Ritthipravat, P. ; Nakayama, Kenji
出版情報: Proceedings of the International Conference on Artificial Intelligence IC-AI'02.  pp.161-167,  2002-06-01.  Springer Verlag (Germany)
URL: http://hdl.handle.net/2297/11917
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論文
Nakayama, Kenji
出版情報: IEEE transactions on circuits and systems.  26  pp.404-408,  1982-06-01.  IEEE = Institute of Electrical and Electronics Engineers
URL: http://hdl.handle.net/2297/18278
概要: 金沢大学理工研究域 電子情報学系<br />A new approach to the implmentation of sum of products (SP) and transposed sum of products ( TSP) using partitioned arithmetic is proposed. This aproach makes it possible to realize SP and TSP with recent advanced semiconductor memory technology without multipliers. It is also shown to offer signficant reductions in memory capacity requirement and computational complexity. Dynamic range constraints and output roundoff noise analysis are also discussed. 続きを見る