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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SRW 2022-08-22
14:40
Online Online [Invited Talk] Towards Future-Generation Wireless Communication Technology with Multikernel Adaptive Filter -- Partially Linear Filter for Robust Multiuser Detection --
Masahiro Yukawa (Keio Univ.) SRW2022-15
This review article presents a comprehensive overview of our recent developments for nonlinear multiuser detection using... [more] SRW2022-15
pp.33-38
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
13:25
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Filtered-X LMS algorithm based on individual interpolation of primary and secondary sound fields for spatial active noise control
Kazuyuki Arikawa, Shoichi Koyama, Hiroshi Saruwatari (The Univ. of Tokyo) EA2021-84 SIP2021-111 SP2021-69
Spatial active noise control (ANC), which aims to reduce noise over a three-dimensional target region, has at- tracted a... [more] EA2021-84 SIP2021-111 SP2021-69
pp.126-131
PRMU, IE, MI, SIP 2017-05-25
13:00
Aichi   Image Rearrangement for Vectorized Operations in FIR Filtering
Yoshihiro Maeda, Shota Yamashita, Masahiro Nakamura, Norishige Fukushima, Hiroshi Matsuo (NIT) SIP2017-3 IE2017-3 PRMU2017-3 MI2017-3
In this paper, we focus vectorized programming for revisited FIR image filtering.
We propose a new design pattern of ve... [more]
SIP2017-3 IE2017-3 PRMU2017-3 MI2017-3
pp.13-18
SP, SIP, EA 2017-03-01
15:55
Okinawa Okinawa Industry Support Center [Invited Talk] Multikernel Adaptive Filtering: Signal Processing and Machine Learning
Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] EA2016-113 SIP2016-168 SP2016-108
pp.177-182
VLD, CAS, MSS, SIP 2016-06-17
13:40
Aomori Hirosaki Shiritsu Kanko-kan Simultaneous Adaptation of Kernel Centers and Width for Kernel Adaptive Filter
Tomoya Wada, Toshihisa Tanaka (TUAT) CAS2016-27 VLD2016-33 SIP2016-61 MSS2016-27
A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. One of the major cha... [more] CAS2016-27 VLD2016-33 SIP2016-61 MSS2016-27
pp.145-150
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
10:10
Hokkaido Hokkaido University Design of Sparse Dictionary Consisting of Multiple Kernels for Kernel Adaptive Filtering
Taichi Ishida, Toshihisa Tanaka (TUAT) CAS2014-35 VLD2014-44 SIP2014-56 MSS2014-35 SIS2014-35
A kernel adaptive filter is a nonlinear adaptive filter that makes effective use of kernel methods. Its extension is a m... [more] CAS2014-35 VLD2014-44 SIP2014-56 MSS2014-35 SIS2014-35
pp.183-188
RCS, SIP 2014-01-23
14:40
Fukuoka Kyushu Univ. Cartesian Multikernel Adaptive Filtering
Masahiro Yukawa (Keio Univ.) SIP2013-104 RCS2013-274
The new concept of Cartesian multikernel adaptive filtering which employs $Q$ positive definite kernels is presented. Th... [more] SIP2013-104 RCS2013-274
pp.113-116
SP, EA, SIP 2013-05-17
11:35
Okayama   Multi-Kernal Adaptive Filters With Multiple Dictionaries and Regularization
Taichi Ishida, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) EA2013-19 SIP2013-19 SP2013-19
A multi-kernel adaptive filter updates filter coefficients to obtain desired data in the sum of multiple reproducing ker... [more] EA2013-19 SIP2013-19 SP2013-19
pp.109-114
SIP, RCS 2013-02-01
13:00
Hiroshima Viewport-Kure-Hotel (Kure) Multikernel Adaptive Filtering with Double Regularization
Masahiro Yukawa, Ryu-ichiro Ishii (Niigata Univ.) SIP2012-105 RCS2012-262
We propose an efficient multikernel adaptive filtering algorithm with double regularizers. One is a block L1 norm for ke... [more] SIP2012-105 RCS2012-262
pp.143-146
CAS, CS, SIP 2012-03-09
15:40
Niigata The University of Niigata Short Term PV Prediction Using Committee Kernel Adaptive Filters
Yuichiro Yoneda, Toshihisa Tanaka (TUAT) CAS2011-162 SIP2011-182 CS2011-154
We study short term power prediction of photovoltaic (PV) using data acquired from the PV panels. PV power outputs are u... [more] CAS2011-162 SIP2011-182 CS2011-154
pp.309-314
CAS, CS, SIP 2012-03-09
16:05
Niigata The University of Niigata A Note on Multi-Kernel Adaptive Learning Based on RKHS Projection
Ryu-ichiro Ishii, Masahiro Yukawa (Niigata Univ.) CAS2011-163 SIP2011-183 CS2011-155
A multi-kernel adaptive learning based on RKHS projection (MKAL-RKHS) is investigated. It is first shown that the existi... [more] CAS2011-163 SIP2011-183 CS2011-155
pp.315-320
EA, SIP, SP 2011-05-12
14:15
Osaka Ritsumeikan Univ. Multi-Kernel NLMS Algorithm with Coherence Criterion and Its Application to Online Prediction of Time Series Data
Masahiro Yukawa (Niigata Univ.) EA2011-14 SIP2011-14 SP2011-14
In this paper, we propose a nonlinear adaptive filtering algorithm using multiple kernels. The proposed algorithm is a g... [more] EA2011-14 SIP2011-14 SP2011-14
pp.79-82
SIP, RCS 2011-01-20
14:55
Kagoshima   A Numerical Study on Online Regression with Multiple Kernels
You Nakajima, Masahiro Yukawa (Niigata Univ.) SIP2010-91 RCS2010-221
In this paper, we investigate by simulations the potential performance of an online learning technique with multiple ker... [more] SIP2010-91 RCS2010-221
pp.133-136
SIP, SIS, SP 2007-09-27
14:20
Aichi Nagoya Inst. of Tech. Linearization of Loudspeaker Systems Using a Subband Adaptive Volterra Filter
Yoshifumi Nakanishi, Yoshinobu Kajikawa, Yasuo Nomura (Kansai Univ.) SIP2007-90 SIS2007-26 SP2007-52
In this paper, we propose a low complexity solution to the compensation of nonlinear distortion of loudspeaker systems. ... [more] SIP2007-90 SIS2007-26 SP2007-52
pp.43-48
 Results 1 - 14 of 14  /   
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