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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 43  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SS, MSS 2024-01-18
11:05
Ishikawa
(Primary: On-site, Secondary: Online)
Preliminary Study on Driver Drowsiness Detection with Deep Learning Using Vehicular Data
Yutaro Nakagama, Daisuke Ishii (JAIST), Kazuki Yoshizoe (Kyushu Univ.) MSS2023-63 SS2023-42
Driver drowsiness detection (DDD) systems are being developed to prevent accidents caused by the distraction of automobi... [more] MSS2023-63 SS2023-42
pp.64-69
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Adaptive audio correction for multiway systems based on FxLMS algorithms
Sota Oka, Toshihisa Tanaka (TAT) EA2021-93 SIP2021-120 SP2021-78
We propose system identification methods of audio correction systems for multiway loudspeakers selectively controlling s... [more] EA2021-93 SIP2021-120 SP2021-78
pp.183-188
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
14:55
Online Online Parameter estimation of an IIR sound correction system in a real environment
Kento Kudo, Shinichi Inoue, Toshihisa Tanaka (TUAT) EA2020-84 SIP2020-115 SP2020-49
When the acoustic equalizer is used as an equalizer for the reference system, it is necessary to measure the sound at ea... [more] EA2020-84 SIP2020-115 SP2020-49
pp.146-151
SeMI, IPSJ-MBL, IPSJ-UBI [detail] 2021-03-02
14:30
Online Online [Poster Presentation] Wireless channel characterization with sparse modeling
Naota Takeyama, Jin Mitsugi (Keio Univ.) SeMI2020-66
In wireless channel characterization using adaptive filters, adaptive algorithms based on Lasso, Group Lasso, and SCAD h... [more] SeMI2020-66
pp.47-56
WPT 2019-06-11
11:45
Hokkaido Hokkaido Univ. Proposal of Parameter Identification Method for S/S Topology Based on Obtained Frequency Domain Data from Inverter Current/Voltage of Wireless Power Transfer
Koda Takeda, Wataru Ohnishi, Takafumi Kodaki (UT) WPT2019-20
In this paper, a novel identification method of parameters of wireless power transfer(WPT) system based on frequency dom... [more] WPT2019-20
pp.51-56
SS 2017-03-10
09:40
Okinawa   System Identification Method by Real-Time Calculus for Response Time Smoothing
Reiya Okamoto, Akio Nakata (Hiroshima City Univ) SS2016-75
In real time systems, it is often required to smoothen the response times. However, when many input events occur within ... [more] SS2016-75
pp.91-96
EA, ASJ-H 2015-08-03
16:20
Miyagi Tohoku Univ., Research Inst. of Electrical Communication Transaural System using J-FHF for Inverse Identification of a Two-input Two-output System
Katsuaki Satoh, Yasuhiro Terada, Tomonori Kastumata (A.R.I.Co.,), Kiyoshi Nishiyama (Iwate Univ.) EA2015-16
Abstract It is necessary to determine the inverse filters of transfer functions for cancelling crosstalk to play back a ... [more] EA2015-16
pp.35-40
SIP, EA, SP 2015-03-03
13:40
Okinawa   Multi-input single-output ARX modeling of multi-directional head-related transfer functions
Sekitoshi Kanai (Keio Univ), Kentaro Matsui (NHK/Keio Univ), Yasushige Nakayama (NHK), Shuichi Adachi (Keio Univ) EA2014-124 SIP2014-165 SP2014-187
A set of HRTFs from multi-direction to the ear can be estimated simultaneously by regarding as a multi-input single-outp... [more] EA2014-124 SIP2014-165 SP2014-187
pp.291-294
EE, CPM 2015-02-27
10:25
Tokyo NTT Musashino R&D Center A Estimation Method of Lithium-ion Battery Property
Lei Lin, Ryu Ishizaki, Kiyotsugu Takaba, Masahiro Fukui (Ritsumeikan Univ.) EE2014-42 CPM2014-156
In the battery management system, to estimate the state of charge (SOC) and state of health (SOH), the internal paramete... [more] EE2014-42 CPM2014-156
pp.7-12
EA 2014-08-19
15:20
Miyagi Tohoku Gakuin Univ. Transaural Reproduction Using Low-order Modeled HRTFs
Kentaro Matsui (NHK/Keio Univ.), Yasushige Nakayama (NHK), Maho Sugaya, Shuichi Adachi (Keio Univ.) EA2014-16
This paper proposes a method for transaural reproduction using low-order modeled Head-Related Transfer Functions (HRTFs)... [more] EA2014-16
pp.25-30
EA 2013-08-09
15:50
Miyagi Tohoku University Simultaneous Multidirectional Estimation of Head-related Transfer Functions by Regularized Least Squares Method
Sekitoshi Kanai, Shuichi Adachi (Keio Univ), Kentaro Matsui, Akio Ando (NHK) EA2013-61
We have proposed a method to estimate multidirectional
head-related transfer functions (HRTFs) simultaneously by using... [more]
EA2013-61
pp.45-50
KBSE 2013-01-29
12:00
Tokyo Kikai-Shinko-Kaikan Bldg Multi-layered GMDH-type neural network algorithm using Prediction Sum of Squares (PSS) criterion and Its application to nonlinear system identification
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2012-64
In this study, a revised Group Method of Data Handling (GMDH)-type neural network using Prediction Sum of Squares (PSS) ... [more] KBSE2012-64
pp.35-40
EA, EMM 2012-11-16
10:45
Oita OITA Univ. Proposition of a frequency domain multiple-channel system identification algorithm
Yoshifumi Yokotani, Tatsuya Sakai, Kensaku Fujii (Univ. of Hyogo), Mitsuji Muneyasu (Kansai Univ.), Masakazu Morimoto (Univ. of Hyogo) EA2012-84 EMM2012-66
In a two-channel adaptive filter system, the correlation between the reference signal that is an obstacle to the identif... [more] EA2012-84 EMM2012-66
pp.17-22
NLP, CAS 2012-09-21
09:30
Kochi Eikokuji Campus, University of Kochi Estimating parameters in Multi-timescale Adaptive Threshold model using Particle Swarm Optimization
Masashi Miyawaki, Ryota Kobayashi, Katsunori Kitano (Ritsumeikan Univ.) CAS2012-38 NLP2012-64
For simulating a neural circuit faithfully, it is essential to tune single neuron models which can accurately reproduce ... [more] CAS2012-38 NLP2012-64
pp.45-48
EA 2012-08-02
14:10
Miyagi Tohoku Gakuin University Verification of the Simultaneous Multidirectional Estimation Accuracy of Head-Related Transfer Functions by Prediction Error Method
Kentaro Ishikawa (Keio Univ.), Ichiro Maruta (Kyoto Univ.), Shuichi Adachi (Keio Univ.), Kentaro Matsui, Akio Ando (NHK) EA2012-63
This report shows the experimental results of the simultaneous HRTFs (head-related transfer functions) estimation and ve... [more] EA2012-63
pp.55-60
KBSE 2012-05-26
13:30
Kanagawa Keio University Revised GMDH-type neural network algorithm using prediction error criterion defined as AIC
Tadashi Kondo, Junji Ueno, Shoichiro Takao (Tokushima Univ.) KBSE2012-9
In this study, a revised Group Method of Data Handling (GMDH)-type neural network algorithm using prediction error crite... [more] KBSE2012-9
pp.49-54
EA, SP, SIP 2012-05-24
16:00
Osaka Osaka Univ. Nakanoshima Center Convergence Values of an NLMS Algorithm for Sinusoids With Rational Number Period
Yuki Satomi, Arata Kawamura, Youji Iiguni (Osaka Univ.) EA2012-20 SIP2012-20 SP2012-20
In an adaptive system identification filter with a stochastic input signal,a coefficient vector updated with the NLMS al... [more] EA2012-20 SIP2012-20 SP2012-20
pp.115-120
EA 2011-08-10
10:00
Miyagi RIEC, Tohoku Univ. Multidirectional simultaneous estimation of HRTF by prediction error method
Yurika Tokuzumi, Yuji Takenaka, Shuichi Adachi (Keio Univ.), Kentaro Matsui, Akio Ando (NHK) EA2011-59
Measurement of HRTFs (Head-Related Transfer Functions) takes a long time because it must be repeated in all directions a... [more] EA2011-59
pp.55-60
EA, SIP, SP 2011-05-12
10:25
Osaka Ritsumeikan Univ. On the Convergence Properties of LMS Algorithm in Linear Prediction and System Identification for Sinusoidal Inputs
Yuki Satomi, Arata Kawamura, Youji Iiguni (Osaka Univ.) EA2011-4 SIP2011-4 SP2011-4
It is well known that the expectation value of adaptive filter coefficients updated with the LMS algorithm converges for... [more] EA2011-4 SIP2011-4 SP2011-4
pp.19-24
EA, US
(Joint)
2011-01-20
13:30
Kyoto Doshisha Univ. A study on frequency domain multiple-channel system identification algorithm
Tatsuya Sakai, Kensaku Fujii (Univ. of Hyogo), Mitsuji Muneyasu (Kansai Univ.), Masakazu Morimoto (Univ. of Hyogo) EA2010-110
In this paper, we propose a frequenct domain two-channel system identification algorithm efficiently utilizing independe... [more] EA2010-110
pp.29-34
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