A unified approach to convergence rates for ${\ell }^1$-regularization and lacking sparsity

Jens Flemming, Bernd Hofmann, Ivan Veselic

In ${\ell }^1$-regularization, which is an important tool in signal and image processing, one usually is concerned with signals and images having a sparse representation in some suita…