  We present a new method for component separation from multifrequency maps
aimed to extract Sunyaev-Zeldovich (SZ) galaxy clusters from Cosmic Microwave
Background (CMB) experiments. This method is best suited to recover
non--Gaussian, spatially localized and sparse signals. We apply our method on
simulated maps of the ACBAR experiment. We find that this method improves the
reconstruction of the integrated $y$ parameter by a factor three with respect
to the Wiener filter case. Moreover, the scatter associated with the
reconstruction is reduced by 30 per cent.
