| | \n\n \n \n \n float ax= | \tGaussian weight for the range distance \n | \n \n\n \n \n \n bool boundary=y [y/n] | \tif y, boundary is data, whereas zero \n | \n \n\n \n \n \n float bx= | \texponential weight for the domain distance (different if gaussian) \n | \n \n\n \n \n \n file dip= | \tauxiliary input file name \n | \n \n\n \n \n \n bool gauss=n [y/n] | \tif y, Gaussian weight, whereas Triangle weight \n | \n \n\n \n \n \n int nfw= | \tfilter-window length (positive and odd integer) \n | \n \n\n \n \n \n int nw= | \tdata-window length (positive and odd integer) \n | \n \n\n \n \n \n int repeat=1 | \trepeat filtering several times \n | \n \n\n \n \n \n bool verb=n [y/n] | \tverbosity flag \n | \n \n |