Title
A fast wavelet-based algorithm for signal recovery from partial Fourier domain information
Abbreviated Journal Title
IEEE Trans. Circuits Syst. II-Analog Digit. Signal Process.
Keywords
PHASE RETRIEVAL; IMAGE; RECONSTRUCTION; MAGNITUDE; TRANSFORM; Engineering, Electrical & Electronic
Abstract
Signal reconstruction from the measurements of its Fourier transform magnitude remains an important and difficult problem that occurs in different areas in signal processing. Among all the approaches developed to solve this problem, the iterative transform algorithms are currently the most efficient. However, these algorithms suffer from major drawbacks such as stagnation, slow convergence, and high computational cost that limit their practical application. In this brief, we introduce a wavelet adaptation of the general iterative algorithm where the problem is decomposed into different resolution levels and the image is reconstructed following a coarse-to-fine strategy. We show that the proposed approach can significantly improve the performance of the existing algorithms while dramatically reducing their computational complexity.
Journal Title
Ieee Transactions on Circuits and Systems Ii-Analog and Digital Signal Processing
Volume
45
Issue/Number
8
Publication Date
1-1-1998
Document Type
Article
DOI Link
Language
English
First Page
1134
Last Page
1136
WOS Identifier
ISSN
1057-7130
Recommended Citation
"A fast wavelet-based algorithm for signal recovery from partial Fourier domain information" (1998). Faculty Bibliography 1990s. 2410.
https://stars.library.ucf.edu/facultybib1990/2410
Comments
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