Rao et al., 2014 - Google Patents
Comparison of parametric sparse recovery methods for ISAR image formationRao et al., 2014
- Document ID
- 4310479909041682099
- Author
- Rao W
- Li G
- Wang X
- Xia X
- Publication year
- Publication venue
- Science China Information Sciences
External Links
Snippet
A parametric sparse representation model of the inverse synthetic aperture radar (ISAR) signal has been proposed recently, and the ISAR signal is decomposed as a summation of many basis-signals determined by the target rotation rate. Based on the parametric sparse …
- 238000011084 recovery 0 title abstract description 49
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