Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, IEE-MBE |
2023-06-16 14:35 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Detection of MU Activities from Single-channel Surface EMG based on a Method for Extracting Component Waves using Wavelet Coefficient Sets Hidetoshi Nagai (KIT) MBE2023-10 |
The basic unit of muscle activity is the motor unit. This means that the analysis of muscle activity should be based on ... [more] |
MBE2023-10 pp.4-9 |
BioX, SIP, IE, ITE-IST, ITE-ME [detail] |
2023-05-18 14:45 |
Mie |
Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
Kohei Hayashi (NITech), Yoshihiro Maeda (TUS), Norishige Fukushima (NITech) SIP2023-4 BioX2023-4 IE2023-4 |
A wavelet transform is a widely used type of frequency conversion that analyzes changes in frequency and space-time info... [more] |
SIP2023-4 BioX2023-4 IE2023-4 pp.10-15 |
NLP, MSS |
2023-03-15 11:40 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Numerical Analysis of Second Order Partial Differential Equations using Haar Wavelet Differential Operator Matrices Hibiki Sano, Takumi Maegawa, Seiichiro Moro (Univ. Fukui) MSS2022-67 NLP2022-112 |
In recent years, numerical methods of differential equations using wavelet transforms has attracted much attention. In s... [more] |
MSS2022-67 NLP2022-112 pp.25-30 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 14:30 |
Hokkaido |
Hokkaido Univ. |
Low-latency shot noise reduction method for ultra-high definition cameras Kodai Kikuchi, Kohei Tomioka, Usui Takemichi, Kitamura Kazuya (NHK), Keigo Hirakawa (University of Dayton) ITS2022-52 IE2022-69 |
A real-time shot noise reduction system for 4K/8K ultra-high definition cameras is developed, which incorporates the exi... [more] |
ITS2022-52 IE2022-69 pp.53-58 |
EA, ASJ-H |
2022-08-04 15:15 |
Miyagi |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
Audio Source Separation Combining Wavelet Transform and Deep Neural Network Tomohiko Nakamura (Univ. Tokyo) EA2022-32 |
Audio source separation is a technique of separating an observed audio signal into individual source signals. The use of... [more] |
EA2022-32 p.25 |
MI, MICT [detail] |
2021-11-05 15:30 |
Online |
Online |
Respiratory Sound Classification Based on Wavelet Scattering Transform and CRNN Naoki Asatani, Huimin Lu, Tohru Kamiya (KIT), Shingo Mabu (Yamaguchi Univ.), Shoji Kido (Osaka Univ.) MICT2021-41 MI2021-39 |
(To be available after the conference date) [more] |
MICT2021-41 MI2021-39 pp.62-65 |
EA, ASJ-H, EMM |
2020-11-20 09:00 |
Online |
Online |
[Poster Presentation]
Improving wavelet-synchrosqueezing transform with calculating angular frequency using time shift Akira Kakutani, Takashi Matsubara, Keisuke Iwai, Takakazu Kurokawa (NDA) EA2020-21 EMM2020-36 |
Time-frequency analysis is mainly used for analyzing acoustic signals. Short-time Fourier transform by Allen, et al. and... [more] |
EA2020-21 EMM2020-36 pp.1-5 |
HIP |
2020-10-09 11:45 |
Online |
Online |
Investigation of myoelectric potential features effective for predicting falling of objects due to slippage Shohei Terada, Masahiro Migita, Masashi Toda (Kumamoto Univ.), Kazuaki Kondo (kyoto Univ.), Junichi Akita (Kanazawa Univ.), Yuichi Nakamura (kyoto Univ.) HIP2020-45 |
In recent years, sensing technology that appropriately detects a person's intention and state from surface EMG signal... [more] |
HIP2020-45 pp.65-69 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 09:45 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Consideration of the relationship between brain function and physiological measurement and preference in HDTV images Koki Buyo, Yuya Umawatari, Shuhei Kishida, Yohei Ochiai, Yuuko Horita (Univ. of Toyama) IMQ2019-30 IE2019-112 MVE2019-51 |
The digital contents around us are evolving into high-definition systems, as seen from the development of broadcasting i... [more] |
IMQ2019-30 IE2019-112 MVE2019-51 pp.77-80 |
SP, EA, SIP |
2020-03-03 09:00 |
Okinawa |
Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Time-domain audio source separation using multiresolution deep layered analysis based on simultaneous learning of neural networks and wavelet basis functions Shihori Kozuka, Tomohiko Nakamura, Hiroshi Saruwatari (UTokyo) EA2019-149 SIP2019-151 SP2019-98 |
Wave-U-Net is one of state-of-the-art deep neural networks (DNNs) for time-domain audio source separa-tion (TDASS). Howe... [more] |
EA2019-149 SIP2019-151 SP2019-98 pp.279-284 |
MBE, MICT |
2020-01-25 14:40 |
Kumamoto |
KKR Hotel Kumamoto |
Shift Selection Method for Wavelet Coefficient Set to Extract Features of Surface EMG Signals Hidetoshi Nagai (KIT) MICT2019-49 MBE2019-78 |
Common EMG features such as RMS and MPF represent the average characteristics in the short-term window. Therefore, when ... [more] |
MICT2019-49 MBE2019-78 pp.51-56 |
NC, MBE |
2019-12-06 09:45 |
Aichi |
Toyohashi Tech |
Relation of movement intermittency and eye-movement during drawing using Wavelet analysis Yamato Nagata, Naohiro Fukumura (Toyohashi Univ. of Tech.) MBE2019-45 NC2019-36 |
When performing a movement that moves the arm continuously, such as a manual tracking, discontinuous movement called “mo... [more] |
MBE2019-45 NC2019-36 pp.1-5 |
QIT (2nd) |
2019-11-19 09:40 |
Tokyo |
Gakushuin University |
Theoretical limits and scaling of quantum edge detection Naoto Kura, Masahito Ueda (UTokyo) |
Edge detection, one of the fundamental tools in signal processing, is mathematically related to the wavelet transform of... [more] |
|
WIT, SP |
2019-10-27 10:30 |
Kagoshima |
Daiichi Institute of Technology |
A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition Hidetoshi Nagai (KIT) SP2019-32 WIT2019-31 |
In inaudible speech recognition using surface EMG, consonant recognition is one of the difficult problems. When phonemes... [more] |
SP2019-32 WIT2019-31 pp.87-92 |
EA, ASJ-H, ASJ-AA |
2019-07-17 14:00 |
Hokkaido |
SAPPORO COMMUNITY PLAZA |
Time-frequency analysis based on short-time sinusoidal parameter estimation:
-- Unified realization of linear and wavelet structures and application to musical and speech sounds -- Shigeru Ando (Univ. Tokyo) EA2019-17 |
This paper describes a novel and unified method for cconstructing time-frequency spaces with linear and log-linear (wave... [more] |
EA2019-17 pp.87-92 |
NLP, MSS (Joint) |
2019-03-15 14:30 |
Fukui |
Bunkyo Camp., Univ. of Fukui |
Numerical analysis of partial differential equation using the Haar wavelet transform Akihiro Ogura, Ryoji Hirata, Seiichiro Moro (Univ. of Fukui) NLP2018-136 |
Recently, numerical analysis using Haar wavelet transform has attracted attention. Especially, the integration system of... [more] |
NLP2018-136 pp.63-68 |
EA, SIP, SP |
2019-03-15 13:30 |
Nagasaki |
i+Land nagasaki (Nagasaki-shi) |
[Poster Presentation]
Faster than real-time and audio sampling rate extraction of fo candidates using an analytic signal with prolate spheroidal wave function as envelope Hideki Kawahara (Wakayama Univ.), Ken-Ichi Sakakibara (Health Science Univ. Hokkaido), Masanori Morise (Univ. Yamanashi), Yuichi Ishimoto (NINJAL) EA2018-151 SIP2018-157 SP2018-113 |
We propose an extractor of fundamental frequency candidates which runs faster than real-time. It uses power weighted ave... [more] |
EA2018-151 SIP2018-157 SP2018-113 pp.305-310 |
MI |
2019-01-22 14:35 |
Okinawa |
|
Research on macular analysis based on OCT angiography image analysis Shinnosuke Yamaoka, Shinya Fukumoto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe, Hideki Shiihara, Syozo Sonoda, Taiji Sakamoto (Kagoshima Univ.) MI2018-81 |
The purpose of this study is to ascertain whether the complexity of the shape of macular region obtained from OCT angiog... [more] |
MI2018-81 pp.87-92 |
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
The influence on a subject's mental state and performance of a calculation task due to violation of the subject's personal space by the observer Yuto Kobayashi, Yoshiyuki Kageyama (Tokai Univ.) |
This paper describes the influence on a subject's mental state and performance of a calculation task due to violation of... [more] |
|
MBE, BioX |
2018-07-27 13:00 |
Tottori |
|
Person authentication using evoked EEG by invisible visual stimulation
-- Feature extraction based on wavelet transform -- Nozomu Kinjo, Isao Nakanishi (Tottori Univ.) BioX2018-16 MBE2018-24 |
In this study, we investigate feature quantities to realize person authentication using evoked brain waves when presenti... [more] |
BioX2018-16 MBE2018-24 pp.51-55 |