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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 53 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SR 2019-01-24
14:55
Fukushima Corasse, Fukushima city (Fukushima prefecture) Accuracy Comparisons between Deep-Learning Based Angle of Arrival Estimation and MUSIC method -- Impact to Estimation Accuracy of Antenna Element Coupling --
Toyosaka Yamasaki (NECPF), Taichi Ohtsuji (NEC) SR2018-104
Direction of arrival estimation techniques are used for radio localization of radio transmitters. As a representative lo... [more] SR2018-104
pp.49-56
CS 2018-11-01
11:00
Ehime The Shiki Museum Emotion Extraction from Face Images and its Quantification/Visualization -- Experimental Evaluation in Music Concerts and Rakugo Performance --
Seima Todo, Tetsuo Tsujioka, Kazunobu Okazaki, Akihiro Odanaka (Osaka City Univ.) CS2018-63
Nowadays, machine learning, especially a deep learning technique for image classification, has been one of attractive re... [more] CS2018-63
pp.43-49
SANE 2018-10-12
14:20
Tokyo The University of Electro-Communications On Doppler Estimation of Fast Moving Targets exceeded Visible Velocity for Millimeter FM-CW Radar
Takahiro Horiuchi, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) SANE2018-53
The Doppler estimation by Pulse-Doppler Radar is realized by measuring phase shift in pulse-train,
and this technique i... [more]
SANE2018-53
pp.51-55
PRMU, SP 2018-06-29
14:25
Nagano   Symbol Classification and Pitch Recognition in Offline Handwritten Musical Score
Yuki Hayakawa, Tetsushi Wakabayashi, Yasuji Miyake (Mie Univ.), Wataru Ohyama (Kyushu Univ.) PRMU2018-35 SP2018-15
To realize automatic recognition of handwritten music score in Optical Music Recognition (OMR), there are many problems ... [more] PRMU2018-35 SP2018-15
pp.73-77
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] MUSIC Algorithm Based on the Temporal DRR and Generalized Rayleigh Quotient under Reverberant Environment
Ryusuke Tanaka, Yoichi Haneda (UEC) EA2017-149 SIP2017-158 SP2017-132
Recently, direction-of-arrival (DOA) estimation methods have been investigated for many applications, owing to the devel... [more] EA2017-149 SIP2017-158 SP2017-132
pp.261-266
CW
(2nd)
2017-12-16
- 2017-12-17
Okinawa   Musical feature based on correlation between bands of undecimated wavelet coefficients
Takuya Kobayashi, Akira Kubota (Chuo Univ,), Yuusuke Suzuki
Content based filtering is a basic element of a music information retrieval system and attracts more attention as digita... [more]
SANE 2017-11-23
15:40
Overseas Malaysia (Borneo Island) Smart Antenna System for Unknown Uncorrelated Source Groups in Multipath Environment
Ahmad Aminu (Kanopoly), Wan Azlan Wan Zainal Abidin, Kismet Anag Hong Ping (UNIMAS), Ibrahim Abba (Kanopoly) SANE2017-71
Abstract This study presents smart antenna system for unknown uncorrelated source groups containing coherent signals. T... [more] SANE2017-71
pp.45-49
CQ
(2nd)
2017-08-27
10:50
Saitama Nippon Institute of Technology [Poster Presentation] Accuracy Evaluation of Indoor Localization Using Multiple Receiving Stations
Nobuyuki Shiraki, Dai Sasakawa, Naoki honma (Iwate University), Takeshi Nakayama, Shoichi Iizuka (Panasonic)
Indoor target localization method using Multiple-Input Multiple-Output (MIMO) radar technology has been proposed, but th... [more]
US 2017-04-27
10:30
Tokyo   Experimental Study for Super-Resolution Ultrasound Imaging Based on Carrier Frequency Sweeping
Jing Zhu, Shuntaro Hamazumi, Yihsin Ho, Kan Okubo, Norio Tagawa (Tokyo Metropolitan Univ.) US2017-1
Synthetic Aperture (SA) is one of the conventional techniques used for ultrasound imaging, Super resolution FM-Chirp cor... [more] US2017-1
pp.1-4
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
15:30
Hokkaido Hokkaido Univ. A note on estimation of users' emotion evoked during listening to music -- Performance improvement base on fusion of multiple estimation results --
Boxiao Duan, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper precent estimation of users' emotion evoked during listening to music. In our method, we focus on RUSBagging ... [more]
IBISML 2016-11-16
15:00
Kyoto Kyoto Univ. [Poster Presentation] Musical Instrument Sound Classification through CNN with Wavelet Analysis
Shu Eguchi, Masaru Tanaka, Jun Fujiki (Fukuoka Univ.), Takio Kurita (Hiroshima Univ.) IBISML2016-51
In music information processing, the instrument sounds analysis using a computer is an important research theme to analy... [more] IBISML2016-51
pp.45-49
EA, SP, SIP 2016-03-29
09:00
Oita Beppu International Convention Center B-ConPlaza [Poster Presentation] Direction of arrival estimation using the rise and fall period of the utterance covariance matrix in the case of reverberation
Ryusuke Tanaka, Yoichi Haneda (UEC) EA2015-104 SIP2015-153 SP2015-132
Rapid progress in the field of information technology in recent years has resulted in the implementation of direction-of... [more] EA2015-104 SIP2015-153 SP2015-132
pp.207-212
PRMU, MI, IE, SIP 2015-05-15
14:00
Mie   Extraction and Classification of Musical Symbols for Handwritten Music Score Recognition
Daiki Nakagawa, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura, Yasuji Miyake (Mie Univ.) SIP2015-26 IE2015-26 PRMU2015-26 MI2015-26
Automatic recognition of handwritten music score in Optical Music Recognition (OMR) is a difficult task. There are many ... [more] SIP2015-26 IE2015-26 PRMU2015-26 MI2015-26
pp.139-142
US 2015-02-27
11:30
Kanagawa IHI Yokohama Efficient Realization of Super Resolution FM-Chirp Correlation Method Using Synthetic Aperture Scheme
Takayuki Wada, Kan Okubo, Norio Tagawa (Tokyo Metro. Univ.), Yoshiyasu Hirose (ITOCHU Techno-Solutions Corp.) US2014-97
This study addresses the efficient realization of super resolution FM-chirp correlation method (SCM) using synthetic ape... [more] US2014-97
pp.19-22
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2015-02-23
11:00
Hokkaido Hokkaido Univ. A Note on Classification of Individual Favorite Musical Pieces Utilizing EEG Signals during Listening to Music -- Performance Improvement via CCA Considering Class Information --
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a new method using individual EEG signals for improving his/her favorite music classification. Our p... [more]
SANE 2014-10-23
10:00
Overseas Ramada Plaza Melaka, Malacca, Malaysia Numerical and Experimental Evaluation of Localization Methods in a UWB MIMO Radar
Shohei Seki, Idnin Pasya, Takehiko Kobayashi (Tokyo Denki Univ.) SANE2014-79
For realizing high accuracy localization in multiple-input multiple-output (MIMO) radars, it is necessary to optimize an... [more] SANE2014-79
pp.83-88
AP, SANE
(Joint)
2014-08-28
15:35
Niigata Niigata University Satellite campus 2D-DOA Estimation of Patch Antenna Array Using USV - MUSIC Algorithm
Vira Rahayu, Kei Yokokawa, Qiang Chen (Tohoku Univ), Yono Hadi Pramono (ITS) AP2014-81
Universal steering vector (USV) is applied to estimate directional of arrival (DOA) using multiple signal classi... [more] AP2014-81
pp.51-54
HCS, HIP, HI-SIGCOASTER [detail] 2014-05-30
09:30
Okinawa Okinawa Industry Support Center A Consideration on Music Classification using Background Activity of Brain
Ryosuke Miki, Wataru Kameyama, Mutsumi Suganuma (Waseda Univ.) HCS2014-28 HIP2014-28
“Genre” is one of the music metadata. Generally, music genre is used to classify similar music tracks reflecting their m... [more] HCS2014-28 HIP2014-28
pp.211-216
AP, SAT
(Joint)
2012-07-25
11:00
Hokkaido Hokkaido Univ. Sequential Gating Processing for Time-Reversal MUSIC
Heedong Choi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) AP2012-33
Time-reversal (TR) approach with multiple signal classification (MUSIC) has been developed for a remote sensing sy... [more] AP2012-33
pp.17-22
EA 2012-06-08
14:05
Shizuoka Yamaha Co. Underdetermined DOA estimation by the non-linear MUSIC based on higher-order moment analysis
Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-41
This paper describes a new approach to extend MUltiple SIgnal Classification (MUSIC) to underdeter-mined direction-of-ar... [more] EA2012-41
pp.49-54
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