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Linear Filter

Statistical Glossary

Linear Filter:

A linear filter is the filter whose output is a linear function of the input. Any output value of a linear filter is the weighted mean of input values. In other words, to form one element Math image of the output at time Math image , it is necessary to multiply the input values for time moments adjacent to Math image by coefficients and to sum up the products.

Mathematically, the output of a linear filter may be described by the expression


  • Math image is the output of the filter (the result of filtering);
  • Math image is the input of the filter (the original time series to be filtered);
  • Math image is the size of the “window” of the filter – the number of the input values affecting one output value;
  • Math image are “weights” that completely describe any linear filter.

In contrast to nonlinear filter , there is a well developed and conceptually rich mathematical theory of linear filters.

All the linear filters are subdivided into two broad categories – nonrecursive filters and recursive filters .

Examples of a linear filters are: the rectangular filter , the triangular filter , the Gaussian filter , the exponential filter , Kalman filter .

See also: Smoother (Smoothing Filter) , predicting filter

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