📄 s_attribute.m
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function seismic=s_attribute(seismic,action,attributes) %#ok % Function computes functionals of the seismic traces and stores them in like-named % header(s); if no output data set is provided, information about these functionals% printed via the 'list' (short list) option of S_HEADER.%% Function is obsolete: use "s_attributes" instead.%% Written by: E. R.: April 11, 2000% Last updated: September 18, 2005: Add L2-norm calculation%% seismic=s_attribute(seismic,action,attributes) % INPUT% seismic Seismic structure;% % action Defines action to take. Possible values are:% 'add' Add header with mnemonic "type". Gives error message if % header already exists % 'add_ne' Add header with mnemonic "type". Replaces it if it already exists.% 'Default: 'add_ne'% % attributes Cell array with one or more character strings describing the % functional(s) to compute. Possible values are:% 'amax' Compute the maximum absolute value of each trace and store % it in header amax% 'amean' Compute the mean of the absolute value of each trace and store it % 'amedian' Compute the median of the absolute value of each trace and store % it in header amedian% 'amin' Compute the minimum absolute value of each trace and store % it in header amin% in header amean (same as 'aaa').% 'l2norm' Compute the L2 norm of each trace, i.e. % SQRT(sum of squares of the samples of each trace)% 'max' Compute the maximum value of each trace and store it in header max% 'mean' Compute the mean value of each trace and stores it in header mean% 'median' Compute the median value of each trace and store it in % header median% 'min' Compute the minimum value of each trace and store it in % header min% 'minabs' Compute the absolute value of the minimum of each trace and store % it in header minabs% 'rms' Compute the rms value of each trace and store it in header rms% 'trend' Compute the trend (robust estimate of the average gradient)%% Default: all functionals except trend%% OUTPUT% seismic "Updated" seismic structure%alert('Function is obsolete: use "s_attributes" instead.')error('Abnormal termination.')
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