A nonparametric Bayesian model for system identification based on a super‐Gaussian distribution-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A nonparametric Bayesian model for system identification based on a super‐Gaussian distribution

Published:2019-05-15 Issue:7 Volume:102 Page:32-40
ISSN:1942-9533
Container-title:Electronics and Communications in Japan
language:en
Short-container-title:Electron Comm Jpn

Author:

Tanji Hiroki¹,Murakami Takahiro²,Kamata Hiroyuki²

Affiliation:

1. Department of Electronics and Bioinformatics, School of Science and TechnologyMeiji University, JSPS Research Fellowship for Young Specialists (DC2) Kawasaki Kanagawa Japan

2. Department of Electronics and Bioinformatics, School of Science and TechnologyMeiji University Kanagawa Japan

Funder

Japan Society for the Promotion of Science

Publisher

Wiley

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Networks and Communications,General Physics and Astronomy,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecj.12182

Reference29 articles.

1. Identification of Dynamic Systems

2. SchmidtG. Applications of acoustic echo control. An overview. Proc. of 12th European Signal Processing Conference (EUSIPCO);2004;9‐16.

3. Active noise control: a tutorial review

4. Robust EM kernel-based methods for linear system identification

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP