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Apodization Function -- from Wolfram MathWorld

Algebra Applied Mathematics Calculus and Analysis Discrete Mathematics Foundations of Mathematics Geometry History and Terminology Number Theory Probability and Statistics Recreational Mathematics Topology Alphabetical Index New in MathWorld Apodization Function

An apodization function (also called a tapering function or window function) is a function used to smoothly bring a sampled signal down to zero at the edges of the sampled region. This suppresses leakage sidelobes which would otherwise be produced upon performing a discrete Fourier transform, but the suppression is at the expense of widening the lines, resulting in a decrease in the resolution.

A number of apodization functions for symmetrical (two-sided) interferograms are summarized below, together with the instrument functions (or apparatus functions) they produce and a blowup of the instrument function sidelobes. The instrument function corresponding to a given apodization function can be computed by taking the finite Fourier cosine transform,

(1)

where

The following table summarizes the widths, peaks, and peak-sidelobe-to-peak (negative and positive) for common apodization functions.

A general symmetric apodization function can be written as a Fourier series

(12)

where the coefficients satisfy

(13)

The corresponding instrument function is

To obtain an apodization function with zero at , use

(16)

Plugging in (14),

(17)

(18)

The Hamming function is close to the requirement that the instrument function goes to 0 at , giving

The Blackman function is chosen so that the instrument function goes to 0 at and , giving

See alsoBartlett Function

,

Blackman Function

,

Connes Function

,

Cosine Apodization Function

,

Full Width at Half Maximum

,

Gaussian Function

,

Hamming Function

,

Hanning Function

,

Leakage

,

Mertz Apodization Function

,

Parzen Apodization Function

,

Uniform Apodization Function

,

Welch Apodization Function Explore with Wolfram|Alpha ReferencesBall, J. A. "The Spectral Resolution in a Correlator System" ยง4.3.5 in Astrophysics, Part C: Radio Observations (Ed. M. L. Meeks). New York: Academic Press, pp. 55-57, 1976.Blackman, R. B. and Tukey, J. W. "Particular Pairs of Windows." In The Measurement of Power Spectra, From the Point of View of Communications Engineering. New York: Dover, pp. 95-101, 1959.Brault, J. W. "Fourier Transform Spectrometry." In High Resolution in Astronomy: 15th Advanced Course of the Swiss Society of Astronomy and Astrophysics (Ed. A. Benz, M. Huber, and M. Mayor). Geneva Observatory, Sauverny, Switzerland, pp. 31-32, 1985.Harris, F. J. "On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform." Proc. IEEE 66, 51-83, 1978.Norton, R. H. and Beer, R. "New Apodizing Functions for Fourier Spectroscopy." J. Opt. Soc. Amer. 66, 259-264, 1976.Press, W. H.; Flannery, B. P.; Teukolsky, S. A.; and Vetterling, W. T. Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2nd ed. Cambridge, England: Cambridge University Press, pp. 547-548, 1992.Schnopper, H. W. and Thompson, R. I. "Fourier Spectrometers." In Astrophysics, Part A: Optical and Infrared (Ed. N. P. Carleton). New York: Academic Press, pp. 491-529, 1974. Referenced on Wolfram|AlphaApodization Function Cite this as:

Weisstein, Eric W. "Apodization Function." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/ApodizationFunction.html

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