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Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SP, SIP 2012-05-24
13:20		 Osaka Osaka Univ. Nakanoshima Center DSP Implementation of Noise Suppression Method in a Noisy Factory Environment
Hiromasa Terashima, Hidesumi Moriya, Takahiro Natori (Tokyo Univ. of Science, Suwa), Masahide Wakamiko (MICRON SEIKO Co., Ltd.), Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science) EA2012-7 SIP2012-7 SP2012-7		 We presents a noise suppression method for noisy factory environment. The proposed algorithm (Step 1)determine the voise... [more] EA2012-7 SIP2012-7 SP2012-7
pp.35-40
RCS, MoNA, SR
(Joint)		 2011-03-02
09:40		 Kanagawa YRP Practical Kalman Filter based Channel Estimation in MIMO-OFDM Systems
Takahiro Natori, Nari Tanabe, Hideaki Matsue (Tokyo Univ. of Science , Suwa), Toshihiro Furukawa (Tokyo Univ. of Science) RCS2010-258		 This paper proposed the channel gain estimation method with Kalman filter theory for MIMO-OFDM communication. The propos... [more] RCS2010-258
pp.61-66
PRMU, IE, MI 2010-05-14
16:00		 Aichi Chubu Univ. Two-Dimensional Block Kalman Filter with Colored Driving Source for Image Restoration
Ryu Nagayasu, Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science) IE2010-47 PRMU2010-35 MI2010-35		 This method aims to achieve high quality image restoration for blur and noise disturbance from the canonical state space... [more] IE2010-47 PRMU2010-35 MI2010-35
pp.187-192
EA 2009-03-27
10:30		 Tokyo   Kalman Filter Based Robust Restoration Method with Colored Driving Source
Shunichi Kitahara, Nari Tanabe (Tokyo Univ. of Sci, Suwa.), Toshihiro Furukawa (Tokyo Univ. of Sci), Hideaki Matsue (Tokyo Univ. of Sci, Suwa.), Shigeo Tsujii (Inst. of Info Security) EA2008-136		 This paper proposes a Kalman filter based robust restoration method with colored driving source for degraded images. The... [more] EA2008-136
pp.1-5
SP 2008-03-20
15:15		 Tokyo Univ. Tokyo [Poster Presentation] Robust noise suppression algorithm using the only Kalman filter theory for white and colored noises
Nari Tanabe (Tokyo Univ. of Science, Suwa), Toshihiro Furukawa (Tokyo Univ. of Science), Shigeo Tsujii (Inst. of Information Security) SP2007-195		 This paper presents a noise suppression algorithm using only the Kalman filter theory with canonical state space models:... [more] SP2007-195
pp.51-56
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