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ORCIDKenji Nakayama
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2010 – 2019
- 2012
[c65]Kenji Nakayama, Yuki Ofuji, Akihiro Hirano:
An adaptive control method for regression coefficient in frequency domain non-linear echo suppressor. EUSIPCO 2012: 624-628- 2010
- [c64]Kenji Nakayama, Hiroki Horita, Akihiro Hirano:
A BCI System Based on Orthogonalized EEG Data and Multiple Multilayer Neural Networks in Parallel Form. ICANN (1) 2010: 205-210 - [c63]Akihiko Sugiyama, Yuusuke Mizuno, Akihiro Hirano, Kenji Nakayama:
A stereo echo canceller with simultaneous input-sliding and sliding-period control. ICASSP 2010: 325-328 - [c62]Kenji Nakayama, Yasunori Iwanami, Eiji Okamoto:
MIMO MFSK receivers using FDE and MLD on quasi-static frequency selective fading channels. ISITA 2010: 31-36
2000 – 2009
- 2009
- [c61]Akihiko Sugiyama, Yuusuke Mizuno, Laurent Kazdaghli, Akihiro Hirano, Kenji Nakayama:
A stereo echo canceller with simultaneous 2-channel input slides for fast convergence and good sound localization. EUSIPCO 2009: 1992-1996 - [c60]Kenji Nakayama, Shoya Higashi, Akihiro Hirano:
A noise estimation method based on improved VAD used in noise spectral suppression under highly non-stationary noise environments. EUSIPCO 2009: 2494-2498 - 2008
- [c59]Kenji Nakayama, Akihide Horita, Akihiro Hirano:
Effects of propagation delays and sampling rate on feed-back BSS and comparative studies with feed-forward BSS. EUSIPCO 2008: 1-5 - [c58]Kenji Nakayama, Hiroki Horita, Akihiro Hirano:
Neural Network Based BCI by Using Orthogonal Components of Multi-channel Brain Waves and Generalization. ICANN (2) 2008: 879-888 - [c57]Jovan David Rebolledo Méndez, Kenji Nakayama:
Adaptive Self-feeding Natural Language Generator Engine. IVA 2008: 533-534 - 2007
- [j9]Kenji Nakayama:
Special Section on Multimedia and Mobile Signal Processing. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(3): 545 (2007) - [j8]Akihide Horita, Kenji Nakayama, Akihiro Hirano:
A Distortion-Free Learning Algorithm for Feedforward Multi-Channel Blind Source Separation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 90-A(12): 2835-2845 (2007) - [c56]Akihide Horita, Kenji Nakayama, Akihiro Hirano:
A distortion free learning algorithm for multi-channel convolutive blind source separation. EUSIPCO 2007: 394-398 - [c55]Kenji Nakayama, Haruo Katou, Akihiro Hirano:
A feedback approach to over complete BSS and its learning algorithm. EUSIPCO 2007: 399-403 - [c54]Akihide Horita, Kenji Nakayama, Akihiro Hirano:
Analysis and Comparative Study of Source Separation Performances in Feed-Forward and Feed-Back BSSs Based on Propagation Delays in Convolutive Mixture. ICANN (1) 2007: 169-179 - 2006
- [j7]Boris Jansen, Kenji Nakayama:
An Adaptive Penalty-Based Learning Extension for the Backpropagation Family. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 89-A(8): 2140-2148 (2006) - [c53]Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima:
A learning algorithm with distortion free constraint and comparative study for feedforward and feedback BSS. EUSIPCO 2006: 1-5 - [c52]Boris Jansen, Kenji Nakayama:
An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants. IJCNN 2006: 3395-3400 - [c51]Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima:
A Distortion Free Learning Algorithm for Feedforward BSS and ITS Comparative Study with Feedback BSS. IJCNN 2006: 3911-3918 - [c50]Junji Furusho, Chengqiu Li, Xinghao Hu, Naoto Shichi, Takehito Kikuchi, Akio Inoue, Kenji Nakayama, Yuhei Yamaguchi, Ushio Ryu:
Development of a 6-DOF force display system using ER actuators with high-safety. VRCIA 2006: 405-408 - 2005
- [j6]Kenji Nakayama:
Special Section on Papers Selected from the 19th Symposium on Signal Processing. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 88-A(8): 2043 (2005) - [c49]Kenji Nakayama, Akihiro Hirano, Hiroaki Kashimoto:
A synchronized learning algorithm for nonlinear part in a lattice predictor based adaptive Volterra filter. EUSIPCO 2005: 1-4 - [c48]Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima:
Analysis of signal separation and signal distortion in feedforward and feedback blind source separation based on source spectra. IJCNN 2005: 1257-1262 - [c47]Boris Jansen, Kenji Nakayama:
Neural networks following a binary approach applied to the integer prime-factorization problem. IJCNN 2005: 2577-2582 - 2004
- [c46]Akihiko Sugiyama, Akihiro Hirano, Kenji Nakayama:
Acoustic echo cancellation for conference systems. EUSIPCO 2004: 17-20 - [c45]Kenji Nakayama, Akihiro Hirano, Hiroaki Kashimoto:
A lattice predictor based adaptive Volterra filter and a synchronized learning algorithm. EUSIPCO 2004: 1585-1588 - [c44]Akihiro Hirano, Kenji Nakayama, Daisuke Someda, Masahiko Tanaka:
Stereophonic acoustic echo canceller without pre-processing. ICASSP (4) 2004: 145-148 - [c43]Takayuki Nishiwaki, Kenji Nakayama, Akihiro Hirano:
A blind source separation cascading separation and linearization for low-order nonlinear mixtures. ICASSP (5) 2004: 569-572 - [c42]Kenji Nakayama, Akihiro Hirano, Ken-ichi Fukumura:
On generalization of multilayer neural network applied to predicting protein secondary structure. IJCNN 2004: 1209-1213 - 2003
- [j5]Youhua Wang, Kazushi Ikeda
, Kenji Nakayama:
A numerically stable fast Newton-type adaptive filter based on order recursive least squares algorithm. IEEE Trans. Signal Process. 51(9): 2357-2368 (2003) - [c41]Naoki Tokui, Kenji Nakayama, Akihiro Hirano:
Block implementation of a synchronized learning algorithm in adaptive lattice filters. ICASSP (6) 2003: 349-352 - [c40]Kenji Nakayama, Akihiro Hirano, Akihide Horita:
A learning algorithm with adaptive exponential stepsize for blind source separation of convolutive mixtures with reverberations. IJCNN 2003: 1092-1097 - [c39]Kenji Nakayama, Akihiro Hirano, Takayuki Nishiwaki:
A cascade form blind source separation connecting source separation and linearization for nonlinear mixtures. IJCNN 2003: 1856-1861 - 2002
- [c38]Panrasee Ritthipravat, Kenji Nakayama:
Obstacle Avoidance by Using Modified Hopfield Neural Network. IC-AI 2002: 161-167 - 2001
- [c37]Naoki Tokui, Kenji Nakayama, Akihiro Hirano:
A synchronized learning algorithm for reflection coefficients and tap weights in a joint lattice predictor and transversal filter. ICASSP 2001: 3741-3744 - 2000
- [c36]Youhua Wang, Yasuhiro Terada, Minoru Matsui, Kazuhiro Iida, Kenji Nakayama:
Development of high quality acoustic subband echo canceller using dual-filter structure and fast recursive least squares algorithm. ICASSP 2000: 3674-3677 - [c35]Kenji Nakayama, Akihiro Hirano, Aki Kanbe:
A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm. IJCNN (3) 2000: 253-258 - [c34]Kenji Nakayama, Akihiro Hirano, Motoki Nitta:
A Constraint Learning Algorithm for Blind Source Separation. IJCNN (3) 2000: 327-332 - [c33]Kazuyuki Hara, Kenji Nakayama:
A Training Method with Small Computation for Classification. IJCNN (3) 2000: 543-548
1990 – 1999
- 1999
- [c32]Akihiro Hirano, Kenji Nakayama, Kazunobu Watanabe:
Convergence analysis of stereophonic echo canceller with pre-processing-relation between pre-processing and convergence. ICASSP 1999: 861-864 - [c31]Kenji Nakayama, Akihiro Hirano, Hiroaki Sakaguchi:
A polyphase and FFT realization of modulation sub-band adaptive filter with minimum sampling rate. ICASSP 1999: 1485-1488 - [c30]Ashraf A. M. Khalaf, Kenji Nakayama:
A learning algorithm for a hybrid nonlinear predictor applied to noisy nonlinear time series. IJCNN 1999: 1590-1593 - [c29]Kanad Keeni, Kenji Nakayama, Hiroshi Shimodaira:
Estimation of initial weights and hidden units for fast learning of multilayer neural networks for pattern classification. IJCNN 1999: 1652-1656 - [c28]Kenji Nakayama, Akihiro Hirano, Issei Ido:
A multilayer neural network with nonlinear inputs and trainable activation functions: structure and simultaneous learning algorithm. IJCNN 1999: 1657-1661 - 1998
- [c27]Youhua Wang, Kazushi Ikeda, Kenji Nakayama:
A numerically stable fast Newton type adaptive filter based on order update fast least squares algorithm. ICASSP 1998: 1713-1716 - [c26]Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama:
Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. ICONIP 1998: 1215-1218 - [c25]Kanad Keeni, Kenji Nakayama, Hiroshi Shimodaira:
Automatic Generation of Initial Weights and Target Outputs of Multilayer Neural Networks and Its Application to Pattern Classification. ICONIP 1998: 1622-1625 - [c24]Kanad Keeni, Kenji Nakayama, Hiroshi Shimodaira:
Automatic generation of initial weights and estimation of hidden units for pattern classification using neural networks. ICPR 1998: 1568-1571 - 1997
- [c23]Ashraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara:
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence. ICANN 1997: 1047-1052 - [c22]Kanad Keeni, Hiroshi Shimodaira, Kenji Nakayama:
On Distributed Representation of Output Layer for Recognizing Japanese Kana characters Using Neural Networks. ICDAR 1997: 600-603 - [c21]Kazushi Ikeda, Akihiro Suzuki, Kenji Nakayama:
The effects of quantization on the backpropagation learning. ICNN 1997: 1896-1900 - [c20]Seiji Miyoshi, Kenji Nakayama:
A geometric learning algorithm for elementary perceptron and its convergence analysis. ICNN 1997: 1913-1918 - [c19]Qun Xu, Kenji Nakayama:
Avoiding weight-illgrowth: cascade correlation algorithm with local regularization. ICNN 1997: 1954-1959 - 1996
- [c18]Hong Wang, Zhiqiang Ma, Kenji Nakayama:
Effectiveness of Penalty Function in Solving the Subset Sum Problem. International Conference on Evolutionary Computation 1996: 422-425 - [c17]Kazuyuki Hara, Kenji Nakayama:
Selection of minimum training data for generalization and online training by multilayer neural networks. ICNN 1996: 436-441 - [c16]Hideki Kobori, Kazushi Ikeda, Kenji Nakayama:
A model of dynamic associative memory. ICNN 1996: 804-809 - [c15]Seiji Miyoshi, Kenji Nakayama:
Probabilistic memory capacity of recurrent neural networks. ICNN 1996: 1291-1296 - [c14]Katsuyoshi Ohnishi, Kenji Nakayama:
A neural demodulator for quadrature amplitude modulation signals. ICNN 1996: 1933-1938 - 1995
- [c13]Kazuyuki Hara, Kenji Nakayama:
Signal classification based on frequency analysis using multilayer neural network with limited data and computation. ICNN 1995: 600-605 - [c12]Kazuhiro Minamimoto, Kazushi Ikeda, Kenji Nakayama:
Topology analysis of data space using self-organizing feature map. ICNN 1995: 789-794 - [c11]Seiji Miyoshi, Kenji Nakayama:
A recurrent neural network with serial delay elements for memorizing limit cycles. ICNN 1995: 1955-1960 - [c10]Yoshihiro Tomikawa, Kenji Nakayama:
Convergence analysis of recurrent neural network with self-loops based on eigenvalues of a connection matrix. ICNN 1995: 2642-2647 - 1990
- [c9]Kenji Nakayama, Satoru Inomata, Yukou Takeuchi:
A digital multilayer neural network with limited binary expressions. IJCNN 1990: 587-592
1980 – 1989
- 1988
- [j4]Kenji Nakayama:
An improved fast Fourier transform algorithm using mixed frequency and time decimations. IEEE Trans. Acoust. Speech Signal Process. 36(2): 290-292 (1988) - [c8]Kenji Nakayama:
A band-limited signal extrapolation algorithm using pseudo inverse filtering and heuristic optimization. ICASSP 1988: 1754-1757 - 1987
- [j3]Kenji Nakayama:
A discrete optimization method for high-order FIR filters with finite wordlength coefficients. IEEE Trans. Acoust. Speech Signal Process. 35(8): 1215-1217 (1987) - 1986
- [c7]Kenji Nakayama, Yutaka Takahashi, Yayoi Satoh, Masahiro Naka, Yasuaki Nukada:
A single-chip SC line equalizer system for full duplex multi-bit rate digital transmission. ICASSP 1986: 1521-1524 - 1985
- [j2]Kenji Nakayama:
A new discrete Fourier transform algorithm using butterfly structure fast convolution. IEEE Trans. Acoust. Speech Signal Process. 33(5): 1197-1208 (1985) - [c6]Akira Yukawa, Rikio Maruta, Kenji Nakayama:
An oversampling A-to-D converter structure for VLSI digital codec's. ICASSP 1985: 1400-1403 - 1984
- [c5]Kenji Nakayama, T. Seki:
A design method for multirate filters. ICASSP 1984: 456-459 - 1983
- [c4]Kenji Nakayama, Yutaka Ishikawa, Yoshiaki Kuraishi:
Design of LSI speech spectrum analyzer using switched capacitor filter techniques. ICASSP 1983: 515-518 - 1982
- [j1]Rikio Maruta, Akira Kanemasa, Hisashi Sakaguchi, Masao Hibino, Kenji Nakayama:
24- and 120-Channel Transmultiplexers Built with New Digital Signal Processing LSI's. IEEE Trans. Commun. 30(7): 1528-1539 (1982) - [c3]Kenji Nakayama:
A discrete optimization method for high-order FIR filters with finite wordlength coefficients. ICASSP 1982: 484-487 - 1981
- [c2]Akira Kanemasa, Rikio Maruta, Kenji Nakayama, Y. Sakamura, S. Tanaka:
An LSI chip set for DSP hardware implementation. ICASSP 1981: 644-647 - [c1]Kenji Nakayama:
Permuted difference coefficient digital filters. ICASSP 1981: 1197-1200
Coauthor Index
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