A wavelet add-on code for new-generation N-body simulations and data   de-noising (JOFILUREN)
  Wavelets are a new and powerful mathematical tool, whose most celebrated applications are data compression and de-noising. In Paper I (Romeo, Horellou & Bergh 2003, astro-ph/0302343), we have shown that wavelets can be used for removing noise efficiently from cosmological, galaxy and plasma N-body simulations. The expected two-orders-of-magnitude higher performance means, in terms of the well-known Moore's law, an advance of more than one decade in the future. In this paper, we describe a wavelet add-on code designed for such an application. Our code can be included in common grid-based N-body codes, is written in Fortran, is portable and available on request from the first author. The code can also be applied for removing noise from standard data, such as signals and images. 
Alessandro B. Romeo, Cathy Horellou and Joeran Bergh