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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 88  /  [Next]  
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
 Results 1 - 20 of 88  /  [Next]  
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