Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS |
2020-03-06 14:40 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
An implusive noise detection method in noisy speech signals using the short time Fourier transform Sho Hasegawa, Eisuke Horita (Kanazawa Univ.) SIS2019-58 |
The short-time Fourier transform based method to detect impulsive noises from speech signals is expressed. Especially W... [more] |
SIS2019-58 pp.119-124 |
WPT, AP (Joint) |
2019-01-18 11:10 |
Aichi |
Toyota Automobile Museum |
Performance Improvement of Radio Holography-Based DOA Estimation with Cyclic Correlation by Using SAGE Algorithm Yuto Nakajima, Nobuyoshi Kikuma, Kunio Sakakibara (NITech) AP2018-161 |
In recent years, the methods which can estimate the direction-of-arrival (DOA) with a simple array system are desired, a... [more] |
AP2018-161 pp.57-62 |
EMCJ, MICT (Joint) |
2018-03-16 15:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Monitoring of Heart and Respiration Rates Using Millimeter Wave Propagation Channel Responses Hiroaki Magara, Minseok Kim (Niigata Univ.) MICT2017-55 |
Recently, daily monitoring of heartbeats and breathing offers a promising solution to prevent lifestyle-related diseases... [more] |
MICT2017-55 pp.21-25 |
EA |
2018-02-15 16:15 |
Hiroshima |
Pref. Univ. Hiroshima |
[Invited Talk]
Signal Processing for Sound Environment System with Non-Gaussian, Nonlinear and Nonstationary Properties
-- My forty-year history at a slow pace -- Akira Ikuta (Prefectural Univ. Hiroshima) EA2017-96 |
In the actual sound environment system, a specific signal shows various types of probability distribution, and the obser... [more] |
EA2017-96 p.19 |
RCS, RCC, ASN, NS, SR (Joint) |
2016-07-22 09:00 |
Aichi |
|
Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection in Cognitive Radio Shusuke Narieda (NIT, Akashi College) SR2016-49 |
This paper presents a computationally efficient cyclostationarity detection based spectrum sensing in cognitive radio. T... [more] |
SR2016-49 pp.97-102 |
SR |
2015-05-28 14:50 |
Hyogo |
Akashi-Sangyou-Koryu-Center |
Test Statistics Shared CAF Diversity Combining for Spectrum Sensing with Time Averaged Weights Daiki Cho, Atsushi Kondo, Shusuke Narieda (NIT, Akashi College) SR2015-5 |
This paper presents a cyclic autocorrelation function (CAF) diversity combining technique for spectrum sensing by test s... [more] |
SR2015-5 pp.25-30 |
SR |
2015-05-28 16:15 |
Hyogo |
Akashi-Sangyou-Koryu-Center |
[Invited Talk]
Computationally Efficient Spectrum Sensing Based on Cyclostationarity Detection Using Multiple Receive Antennas Shusuke Narieda, Daiki Cho (NIT, Akashi College) SR2015-8 |
Spectrum sensing technique must detect an extremely weak radio signal, and several techniques based on multiple receive ... [more] |
SR2015-8 pp.45-52 |
RCS, SR, SRW (Joint) |
2015-03-06 09:50 |
Tokyo |
Tokyo Institute of Technology |
A Weighted Diversity Combining Technique without Noise Statistics Estimation for Cyclostationarity Detection Based Spectrum Sensing Daiki Cho, Shusuke Narieda (ANCT) SR2014-139 |
This paper presents a weighted diversity combining technique without noise statistics estimation for cyclostationarity d... [more] |
SR2014-139 pp.169-174 |
RCC, ASN, NS, RCS, SR (Joint) |
2014-07-30 16:35 |
Kyoto |
Kyoto Terrsa |
A Weighted Diversity Combining Technique for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio Daiki Cho, Shusuke Narieda (ANCT) SR2014-22 |
This paper presents a weighted diversity combining technique for cyclostationarity detection based spectrum sensing of o... [more] |
SR2014-22 pp.13-19 |
SAT, WBS (Joint) |
2014-05-15 13:00 |
Aichi |
Nagoya Institute of Technology |
Block Length Estimation of Block Modulations by Cycrostationarity Shengdi Jin, Ikuo Oka, Shingo Ata (Osaka City Univ.) SAT2014-1 |
The modulation identifications is one of the key issues in the cognitive radios, and many works were devoted to the modu... [more] |
SAT2014-1 pp.1-4 |
RCS, SR, SRW (Joint) |
2014-03-03 16:15 |
Tokyo |
Waseda Univ. |
Simple Diversity Combining Techniques for Cyclostationarity Detection Based Spectrum Sensing of OFDM Signals in Cognitive Radio Shusuke Narieda (Akashi Nat. Coll. of Tech.) SR2013-102 |
This paper presents simple diversity combining techniques for cyclostationarity detection based spectrum sensing in cogn... [more] |
SR2013-102 pp.41-46 |
ASN |
2013-11-29 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
State Adaptive Autoregressive Model for Estimation of Signal Stationarity Masatoshi Sekine, Kurato Maeno (OKI) ASN2013-114 |
In this paper, we propose a time-series model that is used for the evaluation of the stationarity of time series signal ... [more] |
ASN2013-114 pp.129-134 |
ASN, RCS, NS, SR (Joint) |
2013-07-18 15:45 |
Shizuoka |
Hamamatsu Act City |
[Poster Presentation]
A study on Robust Multiple Hypothesis Testing Approach for Dynamic Spectrum Sharing Takashi Miura, Kenta Umebayashi (TUAT), Janne J Lehtomaki (Univ. of Oulu), Yasuo Suzuki (TUAT) NS2013-60 RCS2013-111 SR2013-49 ASN2013-78 |
This paper tackles the four-level hypothesis problem for spectrum sharing between primary users (PUs) and secondary user... [more] |
NS2013-60 RCS2013-111 SR2013-49 ASN2013-78 pp.137-142(NS), pp.179-184(RCS), pp.153-158(SR), pp.165-170(ASN) |
IN, IA (Joint) |
2012-12-14 08:55 |
Hiroshima |
Hiroshima City Univ. |
Stationarity Analysis and Prediction Model Construction of TCP Throughput by using Application-Level Mechanism Hiroshi Yoshida, Kozo Satoda (NEC Corp.) IN2012-128 |
The end-to-end TCP throughput on best-effort networks, e.g., the Internet and mobile networks, fluctuates widely dependi... [more] |
IN2012-128 pp.39-44 |
SR |
2012-07-27 10:50 |
Kagoshima |
Yakushima (an island in Kagoshima pref.) |
A study of frequency offset countermeasure for cyclostationrity-based a number of signals detection Takashi Miura, Kenta Umebayashi, Yasuo Suzuki (Tokyo Univ. of Agri. & Tech.) SR2012-29 |
In this paper,we have investigated 4-level hypothesis based spectrum sensing technique for spectrum spectrum sharing bet... [more] |
SR2012-29 pp.55-61 |
IT, ISEC, WBS |
2012-03-01 16:35 |
Kanagawa |
|
Estimation of Block Orthogonal Modulation with Cyclostationarity Takafumi Kinugasa, Ikuo Oka, Shingo Ata (Osaka City Univ.) IT2011-62 ISEC2011-89 WBS2011-63 |
The modulation identifications is one of the key issues in the cognitive radio. Modulation identification and modulation... [more] |
IT2011-62 ISEC2011-89 WBS2011-63 pp.101-104 |
SR |
2011-07-28 15:05 |
Kanagawa |
YRP |
[Technology Exhibit]
Multiple Signal Identification Equipment Based on Cyclostationarity Hiroki Harada, Shunji Miura, Hidetoshi Kayama (NTT DOCOMO) SR2011-27 |
A cyclostationary feature detection is considered as one of major sensing techniques for a cognitive radio system due to... [more] |
SR2011-27 pp.61-66 |
RCS, MoNA, SR (Joint) |
2011-03-02 13:40 |
Kanagawa |
YRP |
A Signal Recognition Technique based on Cyclostationarity and its Application to Cognitive Radio Systems Hiroki Harada, Hiromasa Fujii, Shunji Miura, Hidetoshi Kayama (NTT DOCOMO) SR2010-90 |
This paper introduces a signal recognition technique based on cyclostationarity and proposes its application to cognitiv... [more] |
SR2010-90 pp.17-22 |
RCS, MoNA, SR (Joint) |
2011-03-02 16:10 |
Kanagawa |
YRP |
A Study on Improvement of Low-Complexity Cyclostaionary Feauture Detection Method for Compensating Cyclostationarity-degradation Hiroyoshi Yano (Keio Univ.), Osamu Takyu (Tokyo Univ. of Science), Takeo Fujii (Univ. of Electro-Comm.), Tomoaki Ohtsuki (Keio Univ.) SR2010-97 |
In autonomous decentralized cognitive radio system, we have studied a high accuracy and low complexity cyclo- stationari... [more] |
SR2010-97 pp.63-68 |
SR |
2011-01-27 13:25 |
Fukuoka |
Kyushu Institute of Technology |
Experimental Evaluation of Cyclostationarity-Based Multiple Signal Identification Method by using Spatial Channel Emulator Hiroki Harada, Hiromasa Fujii, Shunji Miura, Hidetoshi Kayama, Yoshiki Okano, Tetsuro Imai (NTT DOCOMO) SR2010-70 |
The problem with conventional cyclostationarity-based feature detection
is that the detection probability of weak sign... [more] |
SR2010-70 pp.7-12 |