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reference:ft_channelnormalise [2018/08/23 14:43] (current)
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 +=====  FT_CHANNELNORMALISE =====
 +
 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_channelnormalise"​.
 +
 +<​html><​pre>​
 +  <a href=/​reference/​ft_channelnormalise><​font color=green>​FT_CHANNELNORMALISE</​font></​a>​ shifts and scales all channels of the the input data.
 +  The default behavior is to subtract each channel'​s mean, and scale to a
 +  standard deviation of 1, for each channel individually.
 + 
 +  Use as
 +    [dataout] = ft_channelnormalise(cfg,​ data)
 + 
 +  The configuration can contain
 +    cfg.channel = '​all',​ or a selection of channels
 +    cfg.trials ​ = '​all'​ or a selection given as a 1xN vector (default = '​all'​)
 +    cfg.demean ​ = '​yes'​ or '​no'​ (or boolean value) (default = '​yes'​)
 +    cfg.scale ​  = scalar value used for scaling (default = 1)
 +    cfg.method ​ = '​perchannel',​ or '​acrosschannel',​ computes the
 +                    standard deviation per channel, or across all channels.
 +                    The latter method leads to the same scaling across
 +                    channels and preserves topographical distributions
 + 
 +  To facilitate data-handling and distributed computing you can use
 +    cfg.inputfile ​  ​= ​ ...
 +    cfg.outputfile ​ =  ...
 +  If you specify one of these (or both) the input data will be read from a *.mat
 +  file on disk and/or the output data will be written to a *.mat file. These mat
 +  files should contain only a single variable, corresponding with the
 +  input/​output structure.
 + 
 +  See also <a href=/​reference/​ft_componentanalysis><​font color=green>​FT_COMPONENTANALYSIS</​font></​a>,​ <a href=/​reference/​ft_freqbaseline><​font color=green>​FT_FREQBASELINE</​font></​a>,​ <a href=/​reference/​ft_timelockbaseline><​font color=green>​FT_TIMELOCKBASELINE</​font></​a>​
 + 
 +  Copyright (C) 2010, Jan-Mathijs Schoffelen
 +</​pre></​html>​