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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MRIS, ITE-MMS 2019-12-05
15:35
Ehime Ehime University Comparative study of equalization techniques in holographic data storage
Shinya Kurokawa, Shuhei Yoshida (Kindai Univ.) MRIS2019-42
In the holographic data storage, data patterns are represented by images in which 0 or 1 are arranged in a two-dimension... [more] MRIS2019-42
pp.19-23
EA, EMM 2016-11-18
14:45
Oita Compal Hall (Oita) Speech enhancement in the specific area using information of sound source position
Takuto Yoshimizu, Akitoshi Kataoka (Ryukoku Univ.) EA2016-65 EMM2016-71
As technology to emphasize the desired signal while to adapt to the noise environment, the beamformer using a microphone... [more] EA2016-65 EMM2016-71
pp.101-106
EA, SP, SIP 2016-03-28
11:35
Oita Beppu International Convention Center B-ConPlaza [Fellow Memorial Lecture] Developing new ideas based on study of the past
Masaaki Ikehara (Keio Univ.) EA2015-71 SIP2015-120 SP2015-99
“Developing new ideas based on study of the past”is basis of many engineers and researchers. I belatedly realize the imp... [more] EA2015-71 SIP2015-120 SP2015-99
p.31
IE, IMQ, MVE, CQ
(Joint) [detail]
2016-03-07
18:10
Okinawa   Image Denoising via Local Wiener Filtering
Yutaka Takagi, Masaaki Ikehara (Keio Univ.), Ming Shao, Yoichi Nakasone (HUAWEI JAPAN) IMQ2015-51 IE2015-150 MVE2015-78
In this paper, we propose the improved wiener filtering denoising method. In conventional wiener filter, whole image is ... [more] IMQ2015-51 IE2015-150 MVE2015-78
pp.129-134
EA, EMM 2015-11-13
14:00
Kumamoto Kumamoto Univ. Spatial post-filter estimation in environment of multiple noise with different spatial characteristics.
Mizuki Ohno, Akitoshi Kataoka (Ryukoku Univ.) EA2015-37 EMM2015-58
Beamformer and Wiener post-filter has been proposed as array signal processing technique to emphasize the target signal ... [more] EA2015-37 EMM2015-58
pp.75-80
EMCJ, EMD 2015-07-10
14:15
Tokyo Kikai-Shinko-Kaikan Bldg. Adaptive periodic noise cancellation of for electric vehicles
Yuichiro Sato, Satoshi Denno (Okayama Univ.), Toshikazu Karube (Honda R&D co.LTD) EMCJ2015-48 EMD2015-25
High power transistor emit strong electromagnetic waves, which possibly cause harmful influence on neighboring electric ... [more] EMCJ2015-48 EMD2015-25
pp.25-29
EA 2015-07-03
10:30
Tokyo The Univ. of Electro-Communications, 80th Anniversary Memorial Hall Diffuse Noise Suppression by Spatial Cross Spectrum Estimation Considering the Overlap of Beam
Mizuki Ohno, Akitoshi Kataoka (Ryukoku Univ.) EA2015-3
As diffuse noise suppression method using a microphone array, the suppression technique using both the beamformer and th... [more] EA2015-3
pp.11-16
SIP, EA, SP 2015-03-03
16:05
Okinawa   A study of noise reduction function of Adaptive Microphone Array for Noise Reduction
Yuma Oizumi, Yutaka Kaneda (Tokyo Denki Univ.) EA2014-129 SIP2014-170 SP2014-192
An adaptive microphone array for noise reduction (AMNOR) minimizes a noise while limiting the degradation of a target so... [more] EA2014-129 SIP2014-170 SP2014-192
pp.317-322
SIS 2014-12-18
11:30
Kyoto Kyoto Research Park (Kyoto City) Some Properties of Iterative Wiener Filter for Speech Enhancement
Emiko Abe, Tetsuya Shimamura (Saitama Univ.) SIS2014-71
In this paper, we show some properties of iterative Wiener filter for speech enhancement with SNR (Signal-to-Noise Ratio... [more] SIS2014-71
pp.25-30
EA, EMM 2012-11-16
14:20
Oita OITA Univ. A study on impulse response waveform extraction under environmental noise
Isao Shibusawa, Yutaka Kaneda (Tokyo Denki Univ) EA2012-90 EMM2012-72
The impulse response contains a large amount of information about the acoustic characteristics of a loudspeaker or a roo... [more] EA2012-90 EMM2012-72
pp.51-56
EA 2012-06-08
14:45
Shizuoka Yamaha Co. Musical Noise Reduction of Spectral Subtraction for Speech Enhancement
Masaru Fujieda, Takashi Yazu (OKI) EA2012-42
In this report, an approach to reduce musical noise of spectral subtraction (SS) for speech enhancement is described. We... [more] EA2012-42
pp.55-60
EA 2012-06-08
15:10
Shizuoka Yamaha Co. Performance comparison of MMSE and sparse models in source separation using multichannel Wiener filter
Ryutaro Sakanashi, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-43
Multichannel Wiener filter proposed by Duong {\it et al}. can conduct underdetermined blind source separation (BSS) with... [more] EA2012-43
pp.61-66
US 2012-02-23
11:25
Tokyo GE Healthcare Japan Filtering for Reduction of Speckle Noise in the Ultrasonography
Sho Kageyama, Hideyuki Hasegawa, Hiroshi Kanai (Tohoku Univ.) US2011-107
In conventional ultrasonic diagnostic equipment, ultrasonic images are composed of amplitudes of received ultrasonic ech... [more] US2011-107
pp.17-21
SANE 2011-12-16
14:45
Saitama Nippon Institute of Technology A High-Range-Resolution Method by using Wiener filter for Synthetic Bandwidth Radars
Kentaro Isoda, Teruyuki Hara (Mitsubishi Electric) SANE2011-135
Synthetic bandwidth radar has been proposed for high-range-resolution.
In this radar, transmitted frequency and down co... [more]
SANE2011-135
pp.47-51
SP 2011-01-27
15:15
Kyoto NICT Mathematical metric of musical noise in Wiener filtering
Takayuki Inoue, Hiroshi Saruwatari, Kiyohiro Shikano (NAIST), Kazunobu Kondo (YAMAHA) SP2010-105
Recently, one of the authors has reported that the amount of generated musical noise is strongly correlated with higher-... [more] SP2010-105
pp.13-18
MI 2010-11-15
13:50
Kyoto Shimadzu Corp. Denoising of MR Images Using FREBAS Collaborative Filtering
Masayuki Hizume, Satoshi Ito, Yoshifumi Yamada (Utsunomiya Univ.) MI2010-74
We propose a novel image denoising strategy based on the correlation in the FREBAS transformed domain. FREAS transform i... [more] MI2010-74
pp.45-49
AN, USN, SR, RCS
(Joint)
2010-10-29
09:30
Osaka Osaka University Single-carrier HARQ Throughput performance with Iterative Channel Estimation Using Pilot And Wiener-filtering
Tetsuya Uchiumi, Kazuki Takeda, Fumiyuki Adachi (Tohoku Univ.) RCS2010-128
Single-carrier (SC) pilot based iterative channel estimation with sliding Wiener filter having a short window size (seve... [more] RCS2010-128
pp.139-144
SIS 2010-03-04
11:35
Kanagawa Kanagawa Institute of Technology A Method of Impact Noise Reduction in Speech Signal with Gaussian-Mixed Type Adaptive Wiener Filter
Kyoya Naoki, Kaoru Arakawa (Meiji Univ.) SIS2009-51
Authors proposed before a method for reducing impact noise in speech signal. It detects contaminated parts of speech seq... [more] SIS2009-51
pp.17-22
RCS, AN, MoNA, SR
(Joint)
2010-03-05
09:00
Kanagawa YRP Wiener Filter based Channel Estimation Using Superimposed Pilot
Tetsuya Uchiumi, Kazuki Takeda, Fumiyuki Adachi (Tohoku Univ.) RCS2009-306
Superimposed pilot-aided channel estimation (SI-PACE) has a potential of high tracking ability against channel variation... [more] RCS2009-306
pp.279-284
SP 2009-11-26
13:00
Shizuoka Shizuoka University Noise reduction of speech using LPC and Wiener filter
Xin Dang, Takayoshi Nakai (Shizuoka Univ.) SP2009-62
In this paper, we propose the method which is a modified Wiener filter for single-channel noise reduction. The ordinary ... [more] SP2009-62
pp.1-6
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