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[[File:Double sided filter.jpg|Double-sided filtering result]]
== FIR Transfer function Linear filter
Linear filter performs better when it is a double-sided filter. This requires the data to be known in advance which makes it a challenge for these filters to function well in situations where signals cannot be known ahead of time such as radio signal processing. However, this means that linear filters are extremely useful in filtering pre-loaded data. In addition, because of its non-recursive nature which preserves the phase angles of the input, linear filters are usually used in [[Image processing|image processing]], [[Video processing|video processing]], data processing or pattern detection. Some examples are image enhancement, restoration and pre-whitening for spectral analysis <ref>Huang, T. S. (1981). Topics in applied physics: Two-Dimensional Digital Signal Processing I (3rd ed., Vol. 42, Topics in Applied Physics). Berlin: Springer.</ref>. Additionally, linear non-recursive filters are always stable and usually produce a purely real output which makes them more favorable. They are also computationally easy which usually creates a big advantage for using this FIR linear filter.
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