Abstract
The method of matching pursuits utilizes a nonlinear iterative procedure to project a given waveform onto a particular dictionary. For scattering problems, the most appropriate dictionary is composed of waveobjects that are consistent with the underlying wave phenomenology. A signal scattered from most targets of interest can be decomposed in terms of wavefronts, resonances, and chirps - and each of these subclasses can be further subdivided based on characteristic wave physics. Here, we investigate the efficacy of applying the method of matching pursuits with a wave-based dictionary for the processing of scattering data. The performance of this algorithm is examined for scattering data with and without additive noise.
Original language | English (US) |
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Pages (from-to) | 2912-2927 |
Number of pages | 16 |
Journal | IEEE Transactions on Signal Processing |
Volume | 45 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1 1997 |
Externally published | Yes |