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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SR 2024-05-21
12:50
Kagoshima Yokacenter (Kagoshima)
(Primary: On-site, Secondary: Online)
[Invited Talk] A Study on Utilization of Machine Learning in Effective Use of Frequency Resources
Teruji Ide (N I T, Kagoshima College) SR2024-17
(To be available after the conference date) [more] SR2024-17
p.70
SAT, MICT, WBS, RCC
(Joint) [detail]
2024-05-16
10:45
Miyazaki KITEN Convention hall (Miyazaki)
(Primary: On-site, Secondary: Online)
A Study on Precoded OFDM with Iterative Symbol Replacement Detection using MMSE Equalizer
Tadatomo Sato, Teruji Ide (Nat'l Kagoshima College) WBS2024-1 RCC2024-1
 [more] WBS2024-1 RCC2024-1
pp.1-5
SR 2023-11-10
10:30
Miyagi
(Primary: On-site, Secondary: Online)
An evaluation of CNN using Deep Residual Learning for 5G, LTE, and WLAN Systems Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A Rashid, Leon Chin, M. A. Sarijari, Rubita Sudirman (UTM) SR2023-57
 [more] SR2023-57
pp.53-60
IT, ISEC, RCC, WBS 2022-03-10
12:25
Online Online A Study on Multi-stream Transmission for MU-MIMO by using Imperfect Block Diagonalization
Tadatomo Sato, Tomoyuki Osako, Teruji Ide (Kagoshima Coll.) IT2021-99 ISEC2021-64 WBS2021-67 RCC2021-74
 [more] IT2021-99 ISEC2021-64 WBS2021-67 RCC2021-74
pp.101-106
SR 2022-01-25
11:15
Online Online An evaluation of CNN using Deep Residual Learning and Long Short-term Memory for LTE and WLAN Systems Classifications
Teruji Ide (NIT, Kagoshima college), Rozeha Rashid, M A Sarijari (UTM) SR2021-75
In this study, we investigate and present a deep residual (ResNet) learning for modulation classification. The simulatio... [more] SR2021-75
pp.82-89
SR 2021-11-05
10:00
Online Online An evaluation of CNN using Deep Residual Learning for LTE and WLAN Systems Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2021-50
 [more] SR2021-50
pp.50-57
SR 2021-05-21
10:00
Online Online An evaluation of CNN using Deep Residual Learning for OFDM and Single Carrier Modulation Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2021-9
In this study, we investigate and present a deep residual learning for modulation classification. The simulation results... [more] SR2021-9
pp.57-64
SR 2021-01-26
10:25
Online Online An evaluation of CNN using Deep Residual Learning for Modulation Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2020-55
 [more] SR2020-55
pp.45-51
SR 2020-11-18
11:15
Online Online CNN using Deep Residual Learning for Modulation Classification
Teruji Ide (NIT, Kagoshima College), Rozeha A. Rashid, Leon Chin, M A Sarijari, Rubita Sudirman (UTM) SR2020-25
In this study, we investigate and present a deep residual learning for modulation classification. The simulation results... [more] SR2020-25
pp.17-21
SR 2018-01-26
10:20
Fukuoka Fukuoka univ. SR2017-102  [more] SR2017-102
pp.51-56
SR 2005-11-25
10:30
Okinawa Okinawa Wemen's Center Evaluation of Receiver Architecture for Software Defined Radio Equipment using Low-IF Principle
Teruji Ide, Takuzo Fujii, Mitsuo Shirasu, Mitsuyuki Goami (Hitachi Kokusai)
In this paper, we discuss an image rejection method using imbalance compensation techniques for a phase and gain in low-... [more] SR2005-56
pp.63-70
 Results 1 - 11 of 11  /   
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