5 citations · 6 across the 5 of their papers we have counts for
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eess.SP2018
Some New Results on l1-Minimizing Nullspace Kalman Filtering for Remote Sensing Applications
Otmar Loffeld, Dunja Alexandra Hage, Miguel Heredia Conde +1
This paper describes some new results on recursive l_1-minimizing by Kalman filtering. We consider the l_1-norm as an explicit constraint, formulated as a nonlinear observation of…
cs.CV2018
Are good local minima wide in sparse recovery?
Michael Moeller, Otmar Loffeld, Juergen Gall +1
The idea of compressed sensing is to exploit representations in suitable (overcomplete) dictionaries that allow to recover signals far beyond the Nyquist rate provided that they ad…