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Committee Date Time Place Paper Title / Authors Abstract Paper #
EA 2018-02-15
16:15		 Hiroshima Pref. Univ. Hiroshima [Invited Talk] Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties -- My forty-year history at a slow pace --
Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96		 In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] EA2017-96
p.19
EA, ASJ-H 2017-11-30
11:00		 Overseas University of Auckland (New Zealand) Fuzzy Bayesian Filter for Sound Environment by Considering Additive Property of Energy Variable and Fuzzy Observation in Decibel Scale
Akira Ikuta (Prefectural Univ. of Hiroshima), Hisako Orimoto (Prefectural Univ. or Hiroshima) EA2017-61		 In the measurement and evaluation of actual random phenomena in a sound environment system, the observed data often cont... [more] EA2017-61
pp.19-24
EA, EMM 2016-11-18
15:10		 Oita Compal Hall (Oita) State Estimation Based on Bayes' Theorem for Sound Environment System with Quantized Observation -- Introduction of Particle Filter --
Akira Ikuta, Hisako Orimoto, Gerard Gallagher (Prefectural Univ. Hiroshima) EA2016-66 EMM2016-72		 In this study, a modified particle filter considering non-Gaussian properties of noises is proposed in a form applicable... [more] EA2016-66 EMM2016-72
pp.107-112
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