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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIS 2020-03-06
14:40
Saitama Saitama Hall 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
pp.119-124
IT, SIP, RCS 2017-01-19
13:05
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
pp.105-110
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-11
17:10
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
pp.259-263
SIP, RCS 2013-01-31
13:55
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
pp.19-24
SIP, CAS, CS 2010-03-02
13:45
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
pp.259-260
CAS, CS, SIP 2009-03-03
09:35
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
pp.107-112
RCS, SIP 2008-01-25
09:50
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
pp.39-44
RCS, SIP 2008-01-25
13:50
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
pp.121-126
SIP, CAS, CS 2007-03-06
14:10
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
pp.87-92
CAS, SIP, CS 2006-03-06
15:05
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
pp.49-54
CS, CAS, SIP 2005-03-15
13:35
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
pp.93-98
SIP 2005-01-21
10:25
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]
SIP2004-113
pp.19-23
 Results 1 - 12 of 12  /   
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