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 |