An adjusting-block based convex combination algorithm for identifying block-sparse system
SCIE
SCOPUS
- Title
- An adjusting-block based convex combination algorithm for identifying block-sparse system
- Authors
- Kim, Seung Hun; Koo, Gyogwon; Jeong, Jae Jin; kim, Sang Woo
- Date Issued
- 2018-02
- Publisher
- ELSEVIER SCIENCE BV
- Abstract
- A novel block wise convex combination algorithm with adjusting blocks is proposed for block-sparse system identification. The proposed algorithm unifies the complementary advantages of different block induced algorithms, which are based on block proportionate matrix and block zero attracting penalty. A mixing parameter for block wise combination is designed as a block diagonal matrix. The mixing parameter is obtained using the conventional mixing parameter, which represents convergence state, and a block activeness indicator. The indicator for each block is derived from the l-norm measure of the block. Moreover, a block adjustment algorithm is developed using the indicator to overcome the main disadvantage of block-induced algorithms, i.e., the dependency on cluster location. The simulations for system identification are performed on several block-sparse systems including systems with single cluster and double clusters. The simulation results show that the proposed algorithm not only combines the different block-induced algorithms effectively but also improves the performance via the block adjustment algorithm. (C) 2017 Elsevier B.V. All rights reserved.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/94691
- DOI
- 10.1016/j.sigpro.2017.08.014
- ISSN
- 0165-1684
- Article Type
- Article
- Citation
- SIGNAL PROCESSING, vol. 143, page. 1 - 6, 2018-02
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