@article{eprints1529,
          volume = {92},
           pages = {905--911},
          number = {4},
           title = {Iterative reweighted l1 design of sparse FIR filters},
            year = {2012},
         journal = {Signal Processing},
       publisher = {Elsevier},
          author = {Cristian Rusu and Bogdan Dumitrescu},
        keywords = {Sparse filters; Reweighted l1 minimization; Greedy algorithms},
        abstract = {Sparse FIR filters have lower implementation complexity than full filters, while keeping a good performance level. This paper describes a new method for designing 1D and 2D sparse filters in the minimax sense using a mixture of reweighted l1 minimization and greedy iterations. The combination proves to be quite efficient; after the reweighted l1 minimization stage introduces zero coefficients in bulk, a small number of greedy iterations serve to eliminate a few extra coefficients. Experimental results and a comparison with the latest methods show that the proposed method performs very well both in the running speed and in the quality of the solutions obtained.},
             url = {http://eprints.imtlucca.it/1529/}
}