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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| OCS, OFT, IEE-CMN, ITE-BCT (Joint) [detail] |
2023-11-10 13:25 |
Kyoto | (Primary: On-site, Secondary: Online) |
Gaussian-noise-model-based SNR Estimation in 15.2-THz Bandwidth 400-km Inline-amplified Transmission Kosuke Kimura, Takayuki Kobayashi, Shimpei Shimpei, Masanori Nakamura, Takushi Kazama, Masashi Abe, Takeshi Umeki, Akira Kawai, Fukutaro Hamaoka, Yutaka Miyamoto (NTT)  OCS2023-46 |
We demonstrated that mean errors of the SNRs estimated with GN model accounting for SRS were less than 1 dB in 15.2-THz ... [more] | OCS2023-46 pp.16-19 |
| IT, ISEC, RCC, WBS | 2022-03-11 16:40 |
Online | Online | A study on SNR Mismatch in Successive Cancellation Decoding of Polar Codes Kosuke Ikeya, Hideki Ochiai (YNU) IT2021-137 ISEC2021-102 WBS2021-105 RCC2021-112 |
Polar codes have been proven to asymptotically achieve the capacity of arbitrary binary discrete memoryless communicatio... [more] | IT2021-137 ISEC2021-102 WBS2021-105 RCC2021-112 pp.313-318 |
| RCS, SR, SRW (Joint) |
2022-03-04 10:20 |
Online | Online | [Encouragement Talk]
A Study on the Possibility of Estimating Multiple Communication Environment Information by Deep Learning Shun Kojima (Utsunomiya Univ.), Kazuki Maruta (Tokyo Tech.), Yi Feng (Aptiv), Takashi Yokota, Kanemitsu Ootsu (Utsunomiya Univ.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-285 |
In the next generation mobile radio communication systems, it is essential to obtain the communication environment infor... [more] | RCS2021-285 pp.164-169 |
| RCS, SIP, IT | 2022-01-20 14:05 |
Online | Online | Automatic Modulation Classification Based on SNR estimation using Multi-Task Learning Wataru Machida, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) IT2021-56 SIP2021-64 RCS2021-224 |
Automatic modulation classification is a technology that identifies the modulation type used in received signals and pla... [more] | IT2021-56 SIP2021-64 RCS2021-224 pp.155-160 |
| RCS | 2021-04-23 09:45 |
Online | Online | Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-10 |
Recently, due to the increasing demand for wireless data traffic, highly efficient multiple access methods such as OFDMA... [more] | RCS2021-10 pp.42-47 |
| SIP, IT, RCS | 2021-01-22 15:15 |
Online | Online | A Study on the Possibility of Estimating Multiple Communication Environment Information by Deep Learning Method Using Received Signal Spectrogram Shun Kojima (Chiba Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.) IT2020-97 SIP2020-75 RCS2020-188 |
In the next generation mobile radio communication systems, it is essential to obtain the communication environment infor... [more] | IT2020-97 SIP2020-75 RCS2020-188 pp.188-193 |
| SR | 2019-12-06 10:50 |
Okinawa | Ishigaki City Hall (Ishigaki Island) | A Study on Setting of an Energy Detection Threshold with SNR Estimation Hiroki Iwata, Kenta Umebayashi (TUAT) SR2019-102 |
Energy detection (ED) is a popular signal detection method for spectrum sensing and spectrum usage measurement in dynam... [more] |
SR2019-102 pp.75-82 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 13:30 |
Osaka | I-Site Nanba（Osaka） | SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Convolutional Neural Network (CNN) ai... [more] | RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 pp.127-132(RCC), pp.153-158(NS), pp.149-154(RCS), pp.159-164(SR), pp.141-146(SeMI) |
| RCS | 2019-06-21 11:40 |
Okinawa | Miyakojima Hirara Port Terminal Building | SNR Estimation by using Neural Network in Adaptive Modulation and Coding Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-94 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Artificial Neural Network (ANN) aide... [more] |
RCS2019-94 pp.333-338 |
| RCS, SIP, IT | 2019-01-31 12:55 |
Osaka | Osaka University | Access Point Selection by the Number of Users and SNR Estimation Tatsuhiko Murakami, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2018-42 SIP2018-72 RCS2018-249 |
Communication efficiency is improved by selecting the base station with the aid on channel state information (CSI). Many... [more] | IT2018-42 SIP2018-72 RCS2018-249 pp.43-47 |
| EA | 2018-12-13 13:25 |
Fukuoka | kyushu Univ. | Relationship between Internal Parameters and Sound Quality in Biased Harmonic Regeneration Technique Masakazu Une, Ryoichi Miyazaki (NITTC) EA2018-82 |
Harmonic Regeneration Noise Reduction~(HRNR) has been proposed to improve the speech distortion. We introduced bias int... [more] |
EA2018-82 pp.7-14 |
| NS, OCS, PN (Joint) |
2018-06-15 10:50 |
Fukushima | Koriyama-Shoko-Kaigisho | Prototype of OSNR Monitor Unit and Photonic Node for Dynamic and Flexible Photonic Networks Setsuo Yoshida, Shoichiro Oda (Fujitsu), Yoshio Hirose (Fujitsu Labs), Takeshi Hoshida (Fujitsu) OCS2018-17 |
We developed the prototype of photonic node and OSNR monitor unit that can estimate the OSNR of in-service signal by usi... [more] | OCS2018-17 pp.37-42 |
| OCS, NS, PN (Joint) |
2016-06-24 13:40 |
Hokkaido | Hokkaido University | Prototype of Radio Frequency Analysis Based OSNR Monitor Subsystem for Dynamic and Flexible Photonic Networks Setsuo Yoshida, Shoichiro Oda, Yasuhiko Aoki (Fujitsu), Jens C. Rasmussen (Fujitsu Labs.) OCS2016-19 |
The estimate accuracy of OSNR within ±0.5 dB is obtained in the range of input level from -10 to -25 dBm and the range o... [more] | OCS2016-19 pp.55-60 |
| SAT | 2015-10-08 13:45 |
Osaka | Osaka University Nakanoshima Center | Analytical Evaluation of Maximum Likelihood Estimation for SNR Shinji Nishijima, Ikuo Oka, Shingo Ata (Osaka City Univ.) SAT2015-41 |
The estimate channel state information (CSI) take an important role in the adaptive communication systems, which change ... [more] | SAT2015-41 pp.141-144 |
| EA, ASJ-H | 2015-08-04 13:45 |
Miyagi | Tohoku Univ., Research Inst. of Electrical Communication | On an Objective Prediction Method of Binaural Speech Intelligibility Kazuya Taira, Kazuhiro Kondo (Yamagata Univ) EA2015-22 |
Most existing objective intelligibility prediction method predicts monaural intelligibility using monaural signal. There... [more] | EA2015-22 pp.71-76 |
| SIP, EA, SP | 2015-03-02 13:30 |
Okinawa | An Approach Combining Organically Noise, SNR and Voice Activity Estimation Masaru Fujieda, Takashi Yazu (OKI) EA2014-80 SIP2014-121 SP2014-143 |
In general, a noise suppression using a single microphone needs signal-to-noise ratio (SNR) in each time-frequency point... [more] | EA2014-80 SIP2014-121 SP2014-143 pp.49-54 |
|
| ISEC, IT, WBS | 2015-03-02 14:30 |
Fukuoka | The University of Kitakyushu | SNR Estimation for QAM by Likelihood Mothods Shinji Nishijima, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2014-71 ISEC2014-84 WBS2014-63 |
According to radio channel conditions, the adaptive system changes modulation, coding, or power dy- namically. The exact... [more] | IT2014-71 ISEC2014-84 WBS2014-63 pp.59-62 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-24 10:00 |
Hokkaido | Hokkaido Univ. | Blind PSNR Estimation of H.264/AVC Compressed Video using Spatio-Temporal Segmentation Masahiro Wakabayashi, Jiro Katto (Waseda Univ.), Naofumi Wada (Samsung) ITS2014-47 IE2014-74 |
In video coding, image quality degradation is inevitable due to quantization steps in the encoding process. We had propo... [more] | ITS2014-47 IE2014-74 pp.119-124 |
| 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 | 2014-12-12 15:40 |
Ishikawa | Satellite Plaza of Kanazawa University | [Poster Presentation]
Study on signal to noise ratio estimation based on optimal design of subband voice activity detection Shota Morita (JAIST), Xugang Lu (NICT), Masashi Unoki (JAIST) EA2014-46 |
Estimation of signal to noise ratio (SNR) of speech plays an important role of noise reduction and speech intelligibilit... [more] | EA2014-46 pp.37-42 |
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