A method of parameter identification for linear distributed parameter systems. - Yoshifumi Sunahara; Akira Ohsumi; Masaaki Imamura (Autom., 1976)

Linear estimation of random fields with second-order increments and its application. - Akira Ohsumi (Autom., 1988)

Online detection of pulse sequence in random noise using a wavelet. - Akira Ohsumi; Hiroshi Ijima; T. Kuroishi (IEEE Trans. Signal Process., 1999)

Active noise control of sound wave in a one-dimensional duct. - Yuichi Sawada; Akira Ohsumi (ACC, 2000)

High resolution detector for signals in random noise using wavelet-based Wigner distribution. - Akira Ohsumi; Hiroshi Ijima; Tarsuya Sodeoka (ICASSP, 2000)

Estimation of line parameters using SLIDE algorithm and TF representations. - Igor Djurovic; Srdjan Stankovic; Akira Ohsumi; Hiroshi Ijima (ICECS, 2002)

Subspace identification for continuous-time stochastic systems via distribution-based approach. - Akira Ohsumi; Kentaro Kameyama; Ken-ichi Yamaguchi (Autom., 2002)

Identification of physical parameters of a flexible structure from noisy measurement data. - Akira Ohsumi; Nobuhide Nakano (IEEE Trans. Instrum. Meas., 2002)

Instantaneous frequency estimation by using Wigner distribution and Viterbi algorithm. - Ljubisa Stankovic; Igor Djurovic; Akira Ohsumi; Hiroshi Ijima (ICASSP (6), 2003)

Recursive realization of the robust STFT. - Igor Djurovic; Ljubisa Stankovic; Akira Ohsumi; Hiroshi Ijima (ISSPA (1), 2003)

Motion parameters estimation by new propagation approach and time-frequency representations. - Igor Djurovic; Srdjan Stankovic; Akira Ohsumi; Hiroshi Ijima (Signal Process. Image Commun., 2004)

Time-delay estimation of signals in nonstationary random noise via stationarization and Wigner distribution-based approach. - Hiroshi Ijima; Akira Ohsumi; Satoshi Yamaguchi (EUSIPCO, 2006)

Subspace-based prediction of linear time-varying stochastic systems. - Kentaro Kameyama; Akira Ohsumi (Autom., 2007)

Detection of signals corrupted by nonstationary random noise via Kalman filter-based stationarization approach. - Hiroshi Ijima; Akira Ohsumi (EUSIPCO, 2008)

An interpretation of the Schrödinger equation in quantum mechanics from the control-theoretic point of view. - Akira Ohsumi (Autom., 2019)