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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2020-06-26 10:50 |
Online | Online | A Study on Iterative Detection and Decoding for LoRa Modulation Takuya Mihara, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)  RCS2020-44 |
This paper clarifies derivations of log-likelihood ratios (LLRs), which are the soft decision value output of the LoRa d... [more] | RCS2020-44 pp.127-132 |
| IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2019-09-19 14:45 |
Niigata | Tokimeito, Niigata University | A study on the optimal acquisition interval for sample and hold signals Ryouichi Nishimura (NICT) LOIS2019-10 IE2019-23 EMM2019-67 |
Micro Electro Mechanical Systems (MEMS) sensors are promising for IoT applications because they are small and available ... [more] | LOIS2019-10 IE2019-23 EMM2019-67 pp.19-24 |
| RCS, SR, SRW (Joint) |
2018-02-28 10:30 |
Kanagawa | YRP | Study on maximum likelihood detection of uplink MIMO-FSK with channel estimation Kazuki Yoshida, Yasunori Iwanami (N.I.T.) RCS2017-329 |
FSK signal has a constant envelope and is suited to the non-linear amplification with high power efficiency. This featur... [more] | RCS2017-329 pp.69-74 |
| RCS, CCS, SR, SRW (Joint) |
2016-03-02 17:45 |
Tokyo | Tokyo Institute of Technology | Soft-Decision-Aided Joint Maximum-Likelihood Estimation of Signal Power and Noise Spectral Density Over AWGN Channels Yohei Shibata (Keio Univ.), Haifeng Yuan (NUS), Tomoaki Ohtsuki, Pooi Yuen Kam (Keio Univ.), Jun Mashino (NTT) RCS2015-350 |
The estimation of signal power and noise spectral density is a fundamental problem in communication theory, which is con... [more] | RCS2015-350 pp.103-108 |
| SR | 2014-10-30 13:00 |
Overseas | I2R, Singapore | [Poster Presentation]
Prediction of Next ON/OFF State of Primary System by N-order Markov Chain Ryota Nakanishi, Mai Ohta, Makoto Taromaru (Fukuoka Univ.) SR2014-66 |
In this study, we propose a method that predicts the next ON/OFF state of a primary system (PS) by Nth-order Markov chai... [more] | SR2014-66 pp.35-36 |
| RCS | 2014-10-17 10:45 |
Kanagawa | Keio Univ. | Study on decoding complexity reduction of chaos MIMO transmission scheme by applying M-algorithm Eiji Okamoto, Yuma Inaba (NITech) RCS2014-181 |
Chaos multiple-input multiple-output (C-MIMO) scheme is a wireless transmission scheme in which both of encryption and c... [more] | RCS2014-181 pp.141-146 |
| RCS, SR, SRW (Joint) |
2013-03-01 14:50 |
Tokyo | Waseda Univ. | Multilevel modulated chaos-MIMO transmission scheme with adaptive chaos processing Eiji Okamoto (Nagoya Inst. of Tech.) RCS2012-350 |
Securing transmission signals in wireless communications at the physical-layer is important and effective because it can... [more] | RCS2012-350 pp.393-398 |
| SIP, RCS | 2013-02-01 10:50 |
Hiroshima | Viewport-Kure-Hotel (Kure) | Sampling and Recovery of Continuous Sparse Signals by Maximum Likelihood Estimation Yosuke Hironaga, Akira Hirabayashi (Yamaguchi Univ.), Laurent Condat (Grenoble INP) SIP2012-102 RCS2012-259 |
We propose a maximum likelihood estimation approach for the recovery of continuously-defined sparse signals from noisy m... [more] | SIP2012-102 RCS2012-259 pp.127-132 |
| SR, AN, USN, RCS (Joint) |
2012-10-17 09:00 |
Fukuoka | Fukuoka univ. | Chaos MIMO-OFDM transmission scheme achieving physical-layer security in mobile channel environments Eiji Okamoto (Nagoya Inst. Tech.) RCS2012-125 |
Recently, wireless systems utilizing third person’s relaying such as wireless multihop/relay networks, which can enhance... [more] | RCS2012-125 pp.1-6 |
| SR, RCS, SRW (Joint) |
2012-03-07 16:40 |
Kanagawa | YRP | Performance improvement of chaos MIMO scheme by variable chaos signal processing Eiji Okamoto (Nagoya Inst. Tech.) RCS2011-331 |
A chaos multiple-input multiple-output (C-MIMO) transmission scheme in which the chaos encoding is applied into transmit... [more] | RCS2011-331 pp.89-94 |
| SAT, SANE (Joint) |
2012-02-17 09:50 |
Mie | Proposal of PAPR Reduction Method for OFDM Signal in Time-Varying Fading Channel Tomohito Koike, Katsuhiro Naito, Kazuo Mori, Hideo Kobayashi (Mie Univ.) SAT2011-74 |
One of the major drawbacks in the design of OFDM systems is its higher peak to average power ratio (PAPR) in the time do... [more] | SAT2011-74 pp.55-60 |
|
| RCS | 2011-06-23 13:20 |
Okinawa | Ryukyu Univ. | MIMO Transmission Technologies employing PADM (per transmit antenna differential mapping) with High Order Channel Estimation Hiroshi Kubo, Akihiro Okazaki, Koji Tomitsuka (Mitsubishi Electric) RCS2011-45 |
In order to improve tracking capability for fast time-varying channels, this paper proposes multiple-input multiple-outp... [more] | RCS2011-45 pp.61-66 |
| RCS, SIP | 2010-01-21 10:40 |
Fukuoka | Kyushu Univ. | Minimum BER-based Precoding and MLD with Spatial Filters for MIMO-OFDM Systems under Co-Channel Interference
-- Channel Estimation Employing Zadoff-Chu Sequence -- Hideya So, Kazuhiko Fukawa, Satoshi Suyama, Hiroshi Suzuki (Tokyo Inst. of Tech.) SIP2009-76 RCS2009-210 |
This report investigates a channel estimation method employing Zadoff-Chu sequences as preambles for a MIMO-OFDM mobile ... [more] | SIP2009-76 RCS2009-210 pp.19-24 |
| NC, NLP | 2009-07-13 13:00 |
Nara | NAIST | Learning to imitate stochastic time series in a compositional way by chaos Jun Namikawa, Jun Tani (RIKEN) NLP2009-18 NC2009-11 |
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination ... [more] | NLP2009-18 NC2009-11 pp.25-30 |
| NC | 2009-01-20 15:05 |
Hokkaido | Hokkaido Univ. | A Neural Network Model Explaining the Motion Detection Sensitivity Enhanced and Degraded by Induced Motion Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) NC2008-99 |
Motion in the visual context is known to cause a repulsive bias in the perception of the target motion. This phenomenon ... [more] | NC2008-99 pp.95-100 |
| NLP | 2008-12-10 13:15 |
Ishikawa | Study on MAP decoding for component code on chaotic coded modulation Eiji Okamoto, Yasunori Iwanami (Nagoya Inst. Tech.) NLP2008-84 |
A chaotic coded modulation is one of the coded modulation schemes. Uncorrelated sequences of chaos are utilized for the ... [more] | NLP2008-84 pp.75-80 |
|
| RCS, AN, MoNA, SR, WBS (Joint) |
2008-03-06 13:20 |
Kanagawa | YRP | A study on decoding error probability analysis of chaotic coded modulation Eiji Okamoto, Yasunori Iwanami (Nagoya Inst. Tech.) RCS2007-219 |
In a chaotic coded modulation, uncorrelated sequences of chaos are utilized for the distance enhancement of nearest code... [more] | RCS2007-219 pp.199-204 |
| NC | 2007-06-15 09:50 |
Okinawa | OIST Seaside House | Mixture of RNN experts for learning of temporal sequence given by rule dynamics. Jun Namikawa, Jun Tani (RIKEN) NC2007-16 |
This paper proposes a learning method of the ``mixture of experts'' type model, which can acquire the ability to generat... [more] | NC2007-16 pp.47-52 |
| RCS, MoNA, WBS, SR, MW (Joint) |
2007-03-09 09:40 |
Kanagawa | YRP | Digital Satellite Broadcasting Reception on a Moving Vehicle
-- Estimation of Channel with Memory and Error Correction -- Masatoshi Hamada (Graduate Univ. of Advanced Studies), Shiro Ikeda (Institute of Statistical Mathematics) RCS2006-270 |
This article proposes a new method to improve the reception of the digital satellite broadcasting on a moving vehicle. ... [more] |
RCS2006-270 pp.143-146 |
| RCS, SIP (Joint) |
2006-01-26 11:20 |
Fukuoka | Kyusyu Univ. | A filterbank based equalization technique for OFDM systems with insufficient guard interval Seiichiro Horikawa, Hideo Kasami, Makoto Tsuruta, Hidehiro Matsuoka, Hiroki Shoki (Toshiba) |
OFDM (Orthogonal Frequency Division Multiplexing)systems operated in the Single Frequency Network (SFN) might face the p... [more] | RCS2005-128 pp.25-30 |
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