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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2023-12-07
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
SIS2023-31  [more] SIS2023-31
SIS 2020-03-06
Saitama Saitama Hall
(Cancelled but technical report was issued)
An implusive noise detection method in noisy speech signals using the short time Fourier transform
Sho Hasegawa, Eisuke Horita (Kanazawa Univ.) SIS2019-58
The short-time Fourier transform based method to detect impulsive noises from speech signals is expressed. Especially W... [more] SIS2019-58
IT, SIP, RCS 2017-01-19
Osaka Osaka City Univ. A small computation algorithm of the LRLS filter with its short length
Eisuke Horita (Kanazawa Univ.) IT2016-64 SIP2016-102 RCS2016-254
The leaky recursive least-squares (LRLS) filter whose computational complexity is quadratic in its
filter's length $N$ ... [more]
IT2016-64 SIP2016-102 RCS2016-254
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
Hokkaido Hokkaido University A small arithmetic operations algorithm of time-varying regularization parameter updates in an LRLS filter
Eisuke Horita (Kanazawa Univ.) CAS2014-48 VLD2014-57 SIP2014-69 MSS2014-48 SIS2014-48
 [more] CAS2014-48 VLD2014-57 SIP2014-69 MSS2014-48 SIS2014-48
SIP, RCS 2013-01-31
Hiroshima Viewport-Kure-Hotel (Kure) A comparison of leaky RLS and its approximation algorithms for an ANC system
Tushar Paul, Eisuke Horita (Kanazawa Univ.) SIP2012-84 RCS2012-241
 [more] SIP2012-84 RCS2012-241
SIP, CAS, CS 2010-03-02
Okinawa Hotel Breeze Bay Marina, Miyakojima [Poster Presentation] On computationally efficient LRLS algorithms
Eisuke Horita (Kanazawa Univ.) CAS2009-131 SIP2009-176 CS2009-126
 [more] CAS2009-131 SIP2009-176 CS2009-126
CAS, CS, SIP 2009-03-03
Gifu Nagaragawa Convention Center An analysis of an estimation error about the secondary path of the ANC system and an application of a computationally efficient LRLS algorithm
Youhei Kasutani, Eisuke Horita (Kanazawa Univ.) CAS2008-119 SIP2008-182 CS2008-93
In ANC system, it is possible for the systems to be unstable in the Filtered-X algorithm using RLS algorithm. This pheno... [more] CAS2008-119 SIP2008-182 CS2008-93
RCS, SIP 2008-01-25
Hiroshima Hiroshima City Uni. A leaky filtered-X RLS algorithm using an estimation error in the secondary path
Satoshi Ochiai, Eisuke Horita (Kanazawa Univ.) SIP2007-164 RCS2007-167
A filtered-x algorithm has an issue that it can lead to an instability of an ANC system because of an error between the ... [more] SIP2007-164 RCS2007-167
RCS, SIP 2008-01-25
Hiroshima Hiroshima City Uni. A convergence analysis of a time-varying LRLS filter and its approximation filter
Kazunori Nakagawa, Eisuke Horita (Kanazawa Univ.) SIP2007-178 RCS2007-181
A leaky RLS algorithm is needed to be set a parameter $\alpha$ for its correlation matrix to be regularized\cite{ref_2}\... [more] SIP2007-178 RCS2007-181
SIP, CAS, CS 2007-03-06
Tottori Blancart Misasa (Tottori) A Time-Varying Leaky RLS Filter and Its Convergence Analysis
Koji Yamamoto, Kazunori Nakagawa, Eisuke Horita (Kanazawa Univ.) CAS2006-110 SIP2006-211 CS2006-127
 [more] CAS2006-110 SIP2006-211 CS2006-127
CAS, SIP, CS 2006-03-06
Okinawa Univ of Ryukyu On a convergence analysis of a leaky RLS filter and an approximate leaky RLS filter
Hiromichi Sakai, Eisuke Horita (Kanazawa Univ.)
In adaptive signal processing, an LRLS algorithm obtained by using a ridge regression is required to set an appropriate ... [more] CAS2005-104 SIP2005-150 CS2005-97
CS, CAS, SIP 2005-03-15
Okayama Okayama Prefectural University On a convergence property of a leaky RLS filter
Yasuhiro Nakamura, Eisuke Horita (Kanazawa Univ.)
In recent years, it has been reported that a Leaky RLS (LRLS) algorithm gives more accurate estimation parameters than a... [more] CAS2004-113 SIP2004-156 CS2004-249
SIP 2005-01-21
Aichi Nagoya Institute of Technology Characteristics of a leaky RLS filter and its application
Eisuke Horita (Kanazawa Univ.)
In recent years, it has been reported that a leaky RLS (LRLS) algorithm gives
more accurate estimation parameters than ... [more]
 Results 1 - 13 of 13  /   
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