A robust subband adaptive filter algorithm for sparse and block-sparse systems identification

作     者：ZAHRA Habibi HADI Zayyani MOHAMMAD Shams Esfand Abadi ZAHRA Habibi;HADI Zayyani;MOHAMMAD Shams Esfand Abadi

作者机构：Research Institute for Information and Communications TechnologiesAcademic Center for EducationCulture and ResearchTehran ***Iran Department of Electrical and Computer EngineeringQom University of TechnologyQom 371951519Iran Faculty of Electrical EngineeringShahid Rajaee Teacher Training UniversityTehran ***Iran 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2021年第32卷第2期

页      面：487-497页

核心收录：

学科分类：080902[工学-电路与系统] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：subband adaptive filter(SAF) generalized continuous mixed p-norm(GCMPN) sparse system block-sparse system impulsive interference 

摘      要：This paper presents a new subband adaptive filter(SAF)algorithm for system identification scenario under impulsive interference,named generalized continuous mixed p-norm SAF(GCMPN-SAF)*** proposed algorithm uses a GCMPN cost function to combat the impul-sive *** further accelerate the convergence rate in the sparse and the block-sparse system identification processes,the proportionate versions of the proposed algorithm,the L0-norm GCMPN-SAF(L0-GCMPN-SAF)and the block-sparse GCMPN-SAF(BSGCMPN-SAF)algorithms are also ***,the convergence analysis of the proposed algorithm is *** results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.