标题:Hybrid Techniques for Blind Source Separation
作者:Haining Jiang;Yongjian Zhao;
作者机构:[Haining Jiang;Yongjian Zhao]Information Engineering Institute, Shandong University(Weihai)
来源:Proceedings of 2015 5th International Conference on Information Engineering for Mechanics and Materials(ICIMM 2015)
出版年:2015
关键词:Source;Separation;Extraction;Distribution;kurtosis
摘要:This paper proposes a parametric density model under a maximum likelihood framework. One may set different exponential parameters, based on the kurtosis properties of the desired signal, to match different possible signal distributions. In contrast to traditional techniques, the proposed signal sepa...
资源类型:会议论文
原文链接:http://kns.cnki.net/kns/detail/detail.aspx?FileName=JKDZ201507001080&DbName=IPFD2016
TOP