A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is
2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
This work, composed of the present conference paper plus the associated talk at the conference, explores new paradigms for both active and passive target localization, imaging and inverse scattering that are based on both signal subspace and compressive sensing methods (being of particular interest the basis pursuit problem). The signal subspace component provides signal-subspace-based imaging methods applicable to spatially extended targets (relevant work is that in ). The compressivedoi:10.1109/camsap.2007.4497977 fatcat:zxmizwur7nevnoz5gxbbifo6yi