S
Seiichi Nakamori
Researcher at Kagoshima University
Publications - 123
Citations - 834
Seiichi Nakamori is an academic researcher from Kagoshima University. The author has contributed to research in topics: Covariance & Smoothing. The author has an hindex of 13, co-authored 118 publications receiving 820 citations.
Papers
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Journal ArticleDOI
Recursive estimators of signals from measurements with stochastic delays using covariance information
TL;DR: Recursive estimation algorithms are obtained without requiring the state-space model generating the signal, but just using covariance information about the signal and the additive noise in the observations as well as the delay probabilities.
Journal ArticleDOI
Signal estimation with multiple delayed sensors using covariance information
Raquel Caballero-Águila,Aurora Hermoso-Carazo,J. D. Jiménez-López,Josefa Linares-Pérez,Seiichi Nakamori +4 more
TL;DR: The effectiveness of the estimators is illustrated by a numerical simulation example where a signal is estimated using observations from two randomly delayed sensors having different delay properties.
Journal ArticleDOI
Linear recursive discrete-time estimators using covariance information under uncertain observations
TL;DR: This paper, using the covariance information, proposes recursive least-squares (RLS) filtering and fixed-point smoothing algorithms with uncertain observations in linear discrete-time stochastic systems.
Short communication Linear recursive discrete-time estimators using covariance information under uncertain observations
TL;DR: In this article, the authors proposed recursive least squares (RLS) 4ltering and 4xed-point smoothing algorithms with uncertain observations in linear discrete-time stochastic systems.