Kiyoshi Nishiyama

According to our database1, Kiyoshi Nishiyama authored at least 25 papers between 1990 and 2019.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of six.

Timeline

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Bibliography

2019
A New Formula to Compute the NLMS Algorithm at a Computational Complexity of <i>O</i>(2<i>N</i>).
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019

2018
A computationally reduced version of the fast H∞ filter.
Autom., 2018

2017
optimality and a posteriori output estimate of the forgetting factor NLMS algorithm.
Autom., 2017

2015
A new approach to introducing a forgetting factor into the normalized least mean squares algorithm.
Signal Process., 2015

2014
A unified view of adaptive algorithms for finite impulse response filters using the H<sub>∞</sub> framework.
Signal Process., 2014

Time-Varying AR Spectral Estimation Using an Indefinite Matrix-Based Sliding Window Fast Linear Prediction.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

2012
Algorithm Understanding of the J-Fast H<sub>∞</sub> Filter Based on Linear Prediction of Input Signal.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012

2011
A New Formalism of the Sliding Window Recursive Least Squares Algorithm and Its Fast Version.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011

2010
Error Analysis and Numerical Stabilization of the Fast H<sub>∞</sub> Filter.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010

Low-resolution color-based visual tracking with state-space model identification.
Comput. Vis. Image Underst., 2010

Hyper H∞ filtering problem and its solutions.
Proceedings of the 10th International Conference on Information Sciences, 2010

2008
A Novel View of Color-Based Visual Tracker Using Principal Component Analysis.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

State-space model identification and Kalman filtering for image sequence restoration.
Proceedings of the International Conference on Image Processing, 2008

2007
Computational Improvement of the Fast H<sub>infinity</sub> Filter Based on Information of Input Predictor.
IEEE Trans. Signal Process., 2007

Nonlinear Estimation of Harmonic Signals.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

Dependability of Unstructured Estimator in Vector Autoregression Identification.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2007

2006
Implementation of the Fast H_infty Filter in Real-Time Applications.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

2005
Fast and effective generation of the proposal distribution for particle filters.
Signal Process., 2005

Fast J-Unitary Array Form of the Hyper H<sub>infinity</sub> Filter.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005

2004
An H<sub>∞</sub> optimization and its fast algorithm for time-variant system identification.
IEEE Trans. Signal Process., 2004

2003
Reduction of active degrees of freedom in motion learning.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

2001
H<sub>∞</sub>-learning of layered neural networks.
IEEE Trans. Neural Networks, 2001

1997
A nonlinear filter for estimating a sinusoidal signal and its parameters in white noise: on the case of a single sinusoid.
IEEE Trans. Signal Process., 1997

1993
An associate memory model based on hopfield neural network with redundant neurons.
Syst. Comput. Jpn., 1993

1990
Nmr image reconstruction method using complex kalman filter.
Syst. Comput. Jpn., 1990


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