Top-hat filter explained

Top-hat filter should not be confused with top-hat transform.

Top-hat filters are several real-space or Fourier space filtering techniques.[1] The name top-hat originates from the shape of the filter, which is a rectangle function, when viewed in the domain in which the filter is constructed.

Real space

In real-space the filter performs nearest-neighbour filtering, incorporating components from neighbouring y-function values. Despite its ease of implementation, its practical use is limited as the real-space representation of a top-hat filter is the sinc function, which has the often undesirable effect of incorporating non-local frequencies.

Analogue implementations

Exact non-digital implementations are only theoretically possible. Top-hat filters can be constructed by chaining theoretical low-band and high-band filters. In practice, an approximate top-hat filter can be constructed in analogue hardware using approximate low-band and high-band filters.

Fourier space

In Fourier space, a top hat filter selects a band of signal of desired frequency by the specification of lower and upper bounding frequencies. Top-hat filters are particularly easy to implement digitally.

Related functions

The top hat function can be generated by differentiating a linear ramp function of width

\epsilon

. The limit of

\epsilon

then becomes the Dirac delta function. Its real-space form is the same as the moving average, with the exception of not introducing a shift in the output function.

See also

Notes and References

  1. Book: Broughton . S. A. . K. . Bryan. Karin Bryan--> . 2008 . Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing . New York . . 72.