High resolution NMR spectroscopy using a recursive algorithm. - Kiyoshi Nishiyama; Tsutomu Mita (IEEE Trans. Biomed. Eng., 1989)

Nmr image reconstruction method using complex kalman filter. - Kiyoshi Nishiyama; Tutomu Mita (Syst. Comput. Jpn., 1990)

An associate memory model based on hopfield neural network with redundant neurons. - Kiyoshi Nishiyama; Haruhide Goto (Syst. Comput. Jpn., 1993)

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

H∞-learning of layered neural networks. - Kiyoshi Nishiyama; Kiyohiko Suzuki (IEEE Trans. Neural Networks, 2001)

Reduction of active degrees of freedom in motion learning. - Kiyoshi Nishiyama; Koushi Ochisai (CIRA, 2003)

An H∞ optimization and its fast algorithm for time-variant system identification. - Kiyoshi Nishiyama (IEEE Trans. Signal Process., 2004)

Fast J-Unitary Array Form of the Hyper Hinfinity Filter. - Kiyoshi Nishiyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Fast and effective generation of the proposal distribution for particle filters. - Kiyoshi Nishiyama (Signal Process., 2005)

Implementation of the Fast H_infty Filter in Real-Time Applications. - Tomonori Katsumata; Kiyoshi Nishiyama; Katsuaki Satoh (CIMCA/IAWTIC, 2006)

Dependability of Unstructured Estimator in Vector Autoregression Identification. - Xin Lu; Kiyoshi Nishiyama (SiPS, 2007)

Nonlinear Estimation of Harmonic Signals. - Kiyoshi Nishiyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Computational Improvement of the Fast Hinfinity Filter Based on Information of Input Predictor. - Kiyoshi Nishiyama (IEEE Trans. Signal Process., 2007)

State-space model identification and Kalman filtering for image sequence restoration. - Xin Lu; Kiyoshi Nishiyama (ICIP, 2008)

A Novel View of Color-Based Visual Tracker Using Principal Component Analysis. - Kiyoshi Nishiyama; Xin Lu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Hyper H∞ filtering problem and its solutions. - Kiyoshi Nishiyama (ISSPA, 2010)

Low-resolution color-based visual tracking with state-space model identification. - Xin Lu; Kiyoshi Nishiyama (Comput. Vis. Image Underst., 2010)

Error Analysis and Numerical Stabilization of the Fast H∞ Filter. - Tomonori Katsumata; Kiyoshi Nishiyama; Katsuaki Satoh (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

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

Algorithm Understanding of the J-Fast H∞ Filter Based on Linear Prediction of Input Signal. - Kiyoshi Nishiyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012)

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

A unified view of adaptive algorithms for finite impulse response filters using the H∞ framework. - Kiyoshi Nishiyama (Signal Process., 2014)

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

optimality and a posteriori output estimate of the forgetting factor NLMS algorithm. - Kiyoshi Nishiyama (Autom., 2017)

A computationally reduced version of the fast H∞ filter. - Kiyoshi Nishiyama (Autom., 2018)

A New Formula to Compute the NLMS Algorithm at a Computational Complexity of O(2N). - Kiyoshi Nishiyama; Masahiro Sunohara; Nobuhiko Hiruma (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)