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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2024-03-03 10:00 |
Overseas | Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency | [Poster Presentation]
Proposal of additive video watermarking method with distributed watermark embedding
-- Performance comparison between extraction methods using BSS and frame-to-frame difference -- Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.)  EMM2023-95 |
To improve the quality of stego-video, it is necessary to reduce the amount of watermark embedded in a frame. We propose... [more] | EMM2023-95 pp.34-39 |
| EST | 2024-01-26 14:50 |
Kyoto | Kyoto University ROHM Plaza (Primary: On-site, Secondary: Online) |
Magnetic field separation of DC signal source in geomagnetic environment by using tensor decomposition Yuji Ogata, Tomonori Yanagida, Bunichi Kakinuma, Masayuki Kimishima (Advantest Lab) EST2023-120 |
In non-destructive testing and tracking using magnetic fields, it is necessary to estimate the position of the signal so... [more] | EST2023-120 pp.117-122 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Consideration of Data Smoothing and Weight Orthogonalization in Blind Signal Separation Using Kurtosis Maximization Algorithm Shogo Osakabe, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto (NITech) |
With the recent rapid evolution in wireless communications, the demand for high-quality, low-latency transmission and th... [more] | |
| RCS | 2023-06-16 10:00 |
Hokkaido | Hokkaido University, and online (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for ICA-Aided MIMO Blind Signal Separation Arata Kameda, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) RCS2023-68 |
[more] | RCS2023-68 pp.235-240 |
| EMM | 2023-03-02 14:30 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Watermark Extraction Method Using BSS
-- Improving Image Quality Using Inter-frame Difference -- Nao Harada, Rinka Kawano, Masaki Kawamura (Yamaguchi Univ.) EMM2022-80 |
To improve the quality of stego-videos, we consider embedding method of watermarks in blocks where the differences betwe... [more] | EMM2022-80 pp.66-71 |
| ICTSSL, CAS | 2023-01-26 14:20 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
Effects of Suppression Section Expansion in Actual Room Environment Sound Source Separation Tsukasa Hidaka, Kenji Suyama (Tokyo Denki Univ.) CAS2022-71 ICTSSL2022-35 |
In actual room environments, it is easy to assume that the sound source signal arrives with any spatial propagation spre... [more] | CAS2022-71 ICTSSL2022-35 pp.51-55 |
| ICTSSL, CAS | 2023-01-26 14:40 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
Sound Source Separation Avoiding Sound Quality Degradation by Spatial Propagation Kai Furusawa, Kenji Suyama (Tokyo Denki Univ.) CAS2022-72 ICTSSL2022-36 |
In general, the farther the distance between the microphone and the sound source, the greater the spatial propagation sp... [more] | CAS2022-72 ICTSSL2022-36 pp.56-61 |
| IT, RCS, SIP | 2023-01-25 11:55 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
A Study on Evaluation of Non-Gaussianity in Two-Stage ICA-Aided Blind Signal Separation Taisuke Nogami, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2022-55 SIP2022-106 RCS2022-234 |
In the Internet of Things (IoT) communications, which will play an important role in the next-generation wireless commun... [more] | IT2022-55 SIP2022-106 RCS2022-234 pp.148-153 |
| MW | 2021-11-18 14:35 |
Kagoshima | Kagoshima University (Primary: On-site, Secondary: Online) |
Respiratory Measurement of Multiple People Using Millimeter-Wave Radar Takuya Sakamoto, Takato Koda (Kyoto Univ.), Shigeaki Okumura, Hirofumi Taki (MaRI) MW2021-69 |
In this study, we propose a non-contact respiratory sensing technique for multiple people using millimeter-wave array ra... [more] | MW2021-69 pp.15-18 |
| SIS, IPSJ-AVM | 2021-06-24 14:15 |
Online | Online | [Tutorial Lecture]
Noise Reduction using Nonnegative Matrix Factorization Motoaki Mour (Aichi Univ.) SIS2021-9 |
Nonnegative matrix factorization (NMF) is a general term for methods that factorize a matrix into two or more matrices w... [more] | SIS2021-9 pp.49-54 |
| EA | 2020-12-14 09:40 |
Online | Online | Sound source separation method for use in live concerts Ryotaro Yamada, Kota Takahashi (UEC) EA2020-47 |
In live concerts, musical instrument sounds are mixed at vocal microphone, which makes it difficult to mix properly. To ... [more] | EA2020-47 pp.7-12 |
| SIP | 2020-08-28 11:20 |
Online | Online | [Invited Talk]
Blind source separation based on proximal splitting algorithm Kohei Yatabe (Waseda Univ.) SIP2020-36 |
This talk presents blind source separation (BSS) from multi-channel audio signals. BSS is methodology of estimating sepa... [more] | SIP2020-36 p.31 |
| IT, SIP, RCS | 2020-01-23 09:50 |
Hiroshima | Hiroshima City Youth Center | A Study on Channel Estimation by Using Independent Component Analysis in Large-scale MIMO Systems Taichi Kasai, Shinsuke Ibi, Hisato Iwai, Hideichi Sasaoka (Doshisha Univ.) IT2019-37 SIP2019-50 RCS2019-267 |
As the demand for wireless communication technology increases, efficient frequency usage is required. In the case of lar... [more] | IT2019-37 SIP2019-50 RCS2019-267 pp.7-11 |
| IE, CS, IPSJ-AVM, ITE-BCT [detail] | 2019-12-05 11:40 |
Iwate | Aiina Center | [Special Talk]
Representation of moving-image's sparsity and its applications to adaptive moving-image restoration Takahiro Saito (Kanagawa Univ.) CS2019-75 IE2019-55 |
This talk states that statistical sparsity of a moving-image sequence can be properly represented in the domain of the 3... [more] | CS2019-75 IE2019-55 pp.29-34 |
| EA, EMM | 2019-11-22 15:30 |
Ishikawa | Kanazawa Institute of Technology | [Poster Presentation]
Subjective evaluation of upmix method based on separation of object and field sounds , , EA2019-59 EMM2019-87 |
It is considered that the sense of reality of sound is improved by upmixing a multichannel audio signal such that the si... [more] | EA2019-59 EMM2019-87 pp.35-40 |
| MICT, MI | 2018-11-06 14:50 |
Hyogo | University of Hyogo | Feature extraction of coarse/fine crackles and its improvement via sparse modeling techniques Kosei Nishitsuji, Tomoya Sakai, Toshikazu Fukumitsu, Yasushi Obase (Nagasaki Univ.), Sueharu Miyahara (BIPS) MICT2018-48 MI2018-48 |
Medical experts have heuristically defined lung sound features and validated their relations with patients’ conditions i... [more] | MICT2018-48 MI2018-48 pp.45-48 |
| SR | 2018-10-30 10:30 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
Uplink Non-Orthogonal Multiple Access with Single-Carrier Frequency Domain Equalization Kenta Mayama, Kohei Akimoto, Suguru Kameda, Noriharu Suematsu (Tohoku Univ.) SR2018-63 |
In this paper, we investigate the link-level performances in an uplink non-orthogonal multiple access (NOMA) with single... [more] | SR2018-63 pp.11-12 |
| EA, ASJ-H | 2018-08-23 12:55 |
Miyagi | Tohoku Gakuin Univ. | Self-produced speech enhancement and suppression method with wearable air- and body-conductive microphones Moe Takada, Shogo Seki, Tomoki Toda (Nagoya Univ.) EA2018-29 |
This paper presents a self-produced speech enhancement and suppression method for multichannel signals recorded with bot... [more] | EA2018-29 pp.7-12 |
| CAS, SIP, MSS, VLD | 2018-06-14 10:25 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | [Special Invited Talk]
What is a neaural network
-- IEEE Distinguished Lecture -- Bhiksha Raj (CMU) |
After having conquered the world of pattern recognition, neural networks have turned their attention to signal processin... [more] | |
| PRMU, MI, IE, SIP | 2018-05-17 17:00 |
Gifu | [Invited Talk]
Statistical Modeling of 3-D DFT Coefficients of Moving Images and Its Applications to Video Restoration Takahiro Saito, Takashi Komatsu (Kanagawa Univ.) SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 |
Recently we have presented moving-image denoising with 3-D Mean-Separation-type Short-Time DFT and demonstrated that it ... [more] | SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 pp.23-28 |
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