Adaptive Optimal Dual Frames For Signal Reconstruction With Erasures
Keywords
Erasures; frames; Hilbert spaces; optimal dual frames; reconstruction
Abstract
Optimal frames have been used in signal processing to minimize the reconstruction errors when erasures occurred during the frame coefficient transmission, and much of the recent work has been focused either on characterizations or on the constructions of optimal frames (or dual frames) prior to signal encoding. In this paper, we propose a new approach, based on the method of optimal directions, which can search adaptively optimal dual frames in the process of signal reconstruction. We provide concrete algorithms for constructing adaptive optimal dual frames and the reconstruction of signals. In addition, several numerical experiments are presented to demonstrate the efficiency and comparison of the new method with the existed methods.
Publication Date
1-1-2016
Publication Title
IEEE Access
Volume
4
Number of Pages
7577-7584
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ACCESS.2016.2613549
Copyright Status
Unknown
Socpus ID
85013176732 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85013176732
STARS Citation
Guo, Qianping; Leng, Jinsong; Han, Deguang; Fan, Qingyu; and Li, Houbiao, "Adaptive Optimal Dual Frames For Signal Reconstruction With Erasures" (2016). Scopus Export 2015-2019. 3581.
https://stars.library.ucf.edu/scopus2015/3581