Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-02-29 16:45 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Multiple Lag Window Pairs for Estimation of Fundamental Frequency and Periodicity Measure Michiki Koshimori (UEC), Shigeki Sagayama (UTokyo/UEC), Toru Nakashika (UEC) EA2023-75 SIP2023-122 SP2023-57 |
Extending the main concept of modified autocorrelation method in LPC, we investigate lag windows, lag window pairs, and ... [more] |
EA2023-75 SIP2023-122 SP2023-57 pp.85-90 |
RCS, AP, UWT (Joint) |
2022-11-17 10:20 |
Fukuoka |
Kyushu University, and Online (Primary: On-site, Secondary: Online) |
Theoretical analysis of 3D spatial autocorrelation characteristics of Nakagami-Rice fading in sky radio propagation Hikari Tsuhama (Tokyo Tech), Fuji Teruya (Tokyo Tech/Softbank) AP2022-166 |
It is expected to use mobile communication networks to control the flight of drones and transmit its captured video data... [more] |
AP2022-166 pp.109-114 |
SANE |
2022-08-18 14:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Observation of Doppler frequency shift and time of flight of a Morse code propagating through ionosphere Takashi Iwamoto, Mao Konishi (Mitsubishi Electric) SANE2022-36 |
High frequency radio wave is known to deform during propagation through ionosphere. Precise observation of its deformati... [more] |
SANE2022-36 pp.18-20 |
SCE |
2021-01-19 14:35 |
Online |
Online |
Design and Evaluation of Random Number Generators Based on Non-Adiabatic Quantum-Flux-Parametron Gates Wenhui Luo, Naoki Takeuchi, Olivia Chen, Nobuyuki Yoshikawa (Yokohama Natl. Univ.) SCE2020-20 |
We propose a random number generator (RNG) using non-adiabatic quantum-flux-parametron (QFP) gates. The RNG is a simple ... [more] |
SCE2020-20 pp.19-23 |
RCS, AP, UWT (Joint) |
2020-11-26 15:15 |
Online |
Online |
Stochastic Geometry Analysis of Probability and Autocorrelation of Human Blockage in mmWave Communications Koji Yamamoto (Kyoto Univ.), Chun-hsiang Huang, Yushi Shirato, Daisei Uchida, Naoki Kita (NTT) RCS2020-128 |
This report provides the probabilities of human-body blockage and blockage avoidance, and autocorrelation function for h... [more] |
RCS2020-128 pp.99-103 |
NS |
2020-05-14 15:10 |
Online |
Online |
A Query Transfer Method in Cooperation with Different Two Skip Graphs Suitable for Searching Spatially-Autocorrelated Data Yuuki Fujita, Akihiro Fujimoto (Wakayama Univ.), Hideki Tode (Osaka Prefecture Univ.) NS2020-9 |
With the increase of IoT devices, P2P-based IoT platforms have been attracting attention because of their capabilities o... [more] |
NS2020-9 pp.1-6 |
SIS |
2019-03-06 14:00 |
Tokyo |
Tokyo Univ. Science, Katsushika Campus |
The study of the Fractal Dimension and Autocorrelation of Environmental Sound Wave Yoshiaki Makabe, Tomoaki Kimura (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology) SIS2018-40 |
Our study is developing new method for evaluating environmental sound. It uses the self similarity of sound wave and is ... [more] |
SIS2018-40 pp.17-22 |
WBS, RCC, ITS |
2016-12-01 13:00 |
Kagawa |
Sunport Hall Takamatsu |
[Poster Presentation]
A Study on Algorithm for Generating Binary Zero-Correlation Zone Sequence Set Based on Real-Valued Approximately-Zero Correlation Zone Sequence Set Ayaka Abe, Sayuri Fukui, Masanori Hamamura (Kochi Univ. of Tech.) WBS2016-56 ITS2016-23 RCC2016-45 |
We propose an algorithm that constructs binary zero-correlation zone (ZCZ) sequence sets based on real-valued approximat... [more] |
WBS2016-56 ITS2016-23 RCC2016-45 pp.49-52 |
SR |
2016-10-28 13:00 |
Osaka |
Osaka Univ. Nakanoshima Center |
Feature detection scheme using Cyclic Prefix (CP) in OFDM
-- Analytical approach and its results of Output S/N at feature detector -- Kanshiro Kashiki, Tomoki Sada, Akira Yamaguchi (KDDI Research) SR2016-70 |
From the viewpoint of the efficient use of frequency resources in mobile radio service, authors have been investigating ... [more] |
SR2016-70 pp.85-92 |
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 |
NLP, CAS |
2015-10-05 13:55 |
Hiroshima |
Aster Plaza |
Generation of disital spike-trains based on growing greedy search Kei Yamaoka, Toshimichi Saito (HU) CAS2015-27 NLP2015-88 |
This paper studies a simple evolutionary algorithm for synthesis of digital spiking neurons(DSNs).
The DSN is based on... [more] |
CAS2015-27 NLP2015-88 pp.37-41 |
RCS, SR, SRW (Joint) |
2015-03-04 09:25 |
Tokyo |
Tokyo Institute of Technology |
Performance characteristics of feature detection scheme using Cyclic Prefix (CP) in OFDM and its applications Kanshiro Kashiki, Tomoki Sada, Kosuke Yamazaki, Shingo Watanabe (KDDI Labs.) SR2014-112 |
From the viewpoint of the efficient use of frequency resources in mobile radio service, the authors have been investigat... [more] |
SR2014-112 pp.7-14 |
IT |
2015-01-30 14:55 |
Chiba |
|
Proof of Conjecture on Nonexistence of Circulant Hadamard Matrices for Order > 4 Yoshimasa Oh-hashi IT2014-58 |
There are various kinds of binary periodic sequences with the two-level autocorrelation function. However, in case of th... [more] |
IT2014-58 pp.23-28 |
IT |
2015-01-30 15:20 |
Chiba |
|
Additional Proof on Circulant Hadamard Matrices Yoshimasa Oh-hashi IT2014-59 |
There are various kinds of binary periodic sequences with the two-level autocorrelation function. However,
in case of t... [more] |
IT2014-59 pp.29-34 |
SANE |
2015-01-22 15:20 |
Nagasaki |
Nagasaki Prefectural Art Museum |
Range and Doppler Characteristics of Ipatov perfect cycle code Masato Watanabe, Ryo Yamashita, Manabu Akita, Takayuki Inaba (UEC) SANE2014-110 |
PC-HPRF(Phase Code HPRF) radar that use Inter-pulse Cyclic Coding and adopting HPRF (High Pulse Repetition Frequency) m... [more] |
SANE2014-110 pp.29-34 |
CS, CAS, SIP |
2014-03-07 14:50 |
Osaka |
Osaka City University Media Center |
Effects of Sampling Clock Frequency Offset on Cyclostationarity Detection Based Spectrum Sensing in Undersampling Receiver Daiki Cho, Shusuke Narieda (ANCT) CAS2013-132 SIP2013-178 CS2013-145 |
This paper discusses the effects of a sampling clock frequency offset (SCO) and clock jitter on the performance of spect... [more] |
CAS2013-132 SIP2013-178 CS2013-145 pp.245-250 |
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 |
ICD |
2014-01-28 15:00 |
Kyoto |
Kyoto Univ. Tokeidai Kinenkan |
[Poster Presentation]
Electrocardiogram analytical technique for wearable living body sensors wearable biomedical sensor Yozaburo Nakai, Shintaro Izumi, Masanao Nakano, Ken Yamashita, Takahide Fujii, Hiroshi Kawaguchi, Masahiko Yoshimoto (Kobe Univ.) ICD2013-126 |
This report describes a robust method of Instantaneous Heart Rate (IHR) detection from noisy electrocardiogram (ECG) sig... [more] |
ICD2013-126 p.61 |
SP, EA, SIP |
2013-05-16 11:20 |
Okayama |
|
Human Sensing Technique Using Microwave Doppler Radar Based on Higher-order Local Autocorrelation Features Daisuke Okuya, Michiyo Hiramoto, Kurato Maeno (OKI) EA2013-3 SIP2013-3 SP2013-3 |
Conventionally, as for the feeling sensor of a person which detects the existence of the person in object area, it is co... [more] |
EA2013-3 SIP2013-3 SP2013-3 pp.13-18 |
SP |
2013-02-28 15:00 |
Aichi |
Daido University |
[Poster Presentation]
Autocorrelation-based Representation of Prosodic Feature for Accent Type Recognition Yusuke Onishi, Mitsuru Nakai (Toyama Pref. Univ.) SP2012-123 |
In this paper, we used autocorrelation coefficients of speech wave form as prosodic features. In experiments, we evaluat... [more] |
SP2012-123 pp.29-30 |