A simultaneous sparse approximation method for multidimensional harmonic retrieval
详细信息 查看全文
- 作者：Souleymen Sahnouna ; souleymen.sahnoun@gipsa-lab.grenoble-inp.fr" class="auth_mail" title="E-mail the corresponding author ; El-Hadi Djermouneb ; el-hadi.djermoune@univ-lorraine.fr" class="auth_mail" title="E-mail the corresponding author ; David Brieb ; david.brie@univ-lorraine.fr" class="auth_mail" title="E-mail the corresponding author ; Pierre Comona ; pierre.comon@gipsa-lab.grenoble-inp.fr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Multidimensional harmonic retrieval ; Frequency estimation ; Simultaneous sparse approximation ; Multigrid dictionary refinement ; Cramé ; r&ndash ; Rao lower bound
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：36-48
- 全文大小：1607 K
文摘
- •
The simultaneous sparse approximation concept is well-suited for R-D modal retrieval.
- •
A new multigrid scheme of two-step refinement of 1-D grids is proposed.
- •
Derivation of a new algorithm for estimating parameters of R-D damped signals.
- •
Theoretical analysis.
- •
Derivation of the Cramér–Rao bounds for the parameters of R-D signal model.