Windowfilter

Purpose

Spectral filtering.

Synopsis

xf = windowfilter(x,win,options);

xf = windowfilter(x,win,'algorithm');

Description

Rows of X are filtered using a windowed filtering. Note: To allow robust statistics the filter is based on a moving window (or box), and is slow compared to other filter methods.

Inputs

• x = data of class 'double' or 'dataset'.

If 'dataset' it must x.type=='data' or 'image'.

If 'double' it must be MxN.

• win = an odd integer corresponding to the window width of the filter.

Optional Inputs

• algorithm = an string which will be used as the options.algorithm input (only valid when options input is omitted)

Outputs

• xf = Filtered spectra class 'dataset'.

Options

options = a structure array with the following fields:

• plots: [ {'none'} | 'final' ] governs plotting of results, and
• algorithm: [ {'mean'} | 'median' | 'max' | 'min' | 'meantrimmed' | 'mediantrimmed' ] governs filter method.
• ntrim: when algorithm = 'meantrimmed' or 'mediantrimmed', (ntrim) is the input (n) to the functions MEANTRIMMED or MEDIANTRIMED {default = 2}.

See Also

line_filter, box_filter