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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2024-01-18
11:45		 Miyagi
(Primary: On-site, Secondary: Online)		 A Study on Massive MIMO Channel Estimation Based on Sparse Bayesian Learning Using Hierarchical Model
Kengo Furuta, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Uni.) IT2023-34 SIP2023-67 RCS2023-209		 Massive multi-input multi-output (MIMO) channels are known to have pseudo-sparsity in the angular (beam) domain, and it ... [more] IT2023-34 SIP2023-67 RCS2023-209
pp.25-30
EA, ASJ-H, ASJ-MA, ASJ-SP 2023-07-03
11:35		 Hokkaido   Consideration on Sound Source Distance Measurement by Complex Sparse Bayesian Estimation Using a Small Microphone Array System
Senta Ariizumi, Teruki Toya, Kenji Ozawa (UoY) EA2023-17		 In this study, we aim to measure the distance to a sound source by sparse Bayesian estimation using a small-scale microp... [more] EA2023-17
pp.72-77
EA, EMM, ASJ-H 2022-11-21
10:00		 Online Online [Poster Presentation] Consideration on sound source distance measurement using the sparse Bayesian estimation with a small microphone array system
Senta Ariizumi, Eishin Kirikane, Kenji Ozawa (Univ. of Yamanashi) EA2022-47 EMM2022-47		 The objective of this study is to achieve distance measurement of the sound source by using sparse Bayesian estimation f... [more] EA2022-47 EMM2022-47
pp.34-39
SP, IPSJ-MUS 2014-05-24
10:30		 Tokyo   [Invited Talk] Infinite data analysis and Bayesian nonparametrics for audio signal processing
Masahiro Nakano (NTT) SP2014-3		 Bayesian nonparametrics has been an active area of research. Althoug we can construct a variety of models based on famou... [more] SP2014-3
pp.13-18
PRMU, HIP 2010-03-16
12:20		 Kagoshima Kagoshima Univ. Improvement of Accuracy in Bayesian Hidden Markov Model Approach for Sports Event Detection
Tomohiro Yazaki (Waseda Univ.), Toshie Misu (NHK), Yohei Nakada, Shigeru Motoi, Go Kobayashi, Takashi Matsumoto (Waseda Univ.), Nobuyuki Yagi (NHK) PRMU2009-301 HIP2009-186		 The problem of detecting the occurrence of target events in a given data sequence can be found in many fields , such as ... [more] PRMU2009-301 HIP2009-186
pp.401-406
USN 2008-05-22
10:20		 Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo) Identifying a Moving Object with an Accelerometer in a Stationary Camera View
Osamu Shigeta, Shingo Kagami, Koichi Hashimoto (Tohoku Univ.) USN2008-3		 This paper proposes a method for identifying an object with an accelerometer from many moving objects in a camera view. ... [more] USN2008-3
pp.13-18
 Results 1 - 6 of 6  /   
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