@inproceedings{a175f9be674649d9b823d6ec100df58b,
title = "Sparse signal recovery from nonlinear measurements",
abstract = "We treat the problem of minimizing a general continuously differentiable function subject to sparsity constraints. We present and analyze several different optimality criteria which are based on the notions of stationarity and coordinate-wise optimality. These conditions are then used to derive three numerical algorithms aimed at finding points satisfying the resulting optimality criteria: the iterative hard thresholding method and the greedy and partial sparse-simplex methods. The theoretical convergence of these methods and their relations to the derived optimality conditions are studied.",
author = "Amir Beck and Eldar, {Yonina C.}",
year = "2013",
month = oct,
day = "18",
doi = "10.1109/ICASSP.2013.6638708",
language = "אנגלית",
isbn = "9781479903566",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "5464--5468",
booktitle = "2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings",
note = "null ; Conference date: 26-05-2013 Through 31-05-2013",
}