@inproceedings{179007ff3996419bbbcbe5b511272ebe,
title = "A hybrid hard thresholding algorithm for compressed sensing",
abstract = "Iterative hard thresholding algorithm (IHT) is a novel and efficient method to solve signal and image reconstruction in compressed sensing, but it is sensitive to the initial point and converges to a local optimal solution. Therefore, to overcome its shortcoming, in this paper a hybrid hard thresholding algorithm (HHT) is derived by introducing the simulated annealing algorithm (SA) into the IHT. And a series of experiments are provided on signal and image reconstruction to assess performance of the algorithm. The experiments and applications show that the proposed algorithm uses less sampling to construct the signal and image and is more stable, as compared with IHT.",
keywords = "compressed sensing, iterative hard thresholding, signal reconstruction, simulated annealing",
author = "Fengmin Xu and Shanhe Wang and Zongben Xu",
year = "2011",
doi = "10.1109/ICCSN.2011.6014249",
language = "英语",
isbn = "9781612844855",
series = "2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011",
pages = "192--196",
booktitle = "2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011",
note = "2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011 ; Conference date: 27-05-2011 Through 29-05-2011",
}