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12 + @article{FILLER:1964yg,
13 +        Abstract = {An interpolation formula is derived which gives an apodized spectrum as the convolution of the unapodized spectrum (sampled at suitable points) with the apodized apparatus function. This allows many apodizations to be applied to a single interferogram with the performance of only a single Fourier transformation. A further saving in computation effort is possible if the apodized apparatus function decays rapidly away from its center. Examples of such cases are presented, where the interferogram is weighted by a function which is a cosine series of only a few terms.},
14 +        Author = {A. S. FILLER},
15 +        Date-Added = {2014-02-20 18:13:39 +0000},
16 +        Date-Modified = {2014-02-20 18:13:39 +0000},
17 +        Doi = {10.1364/JOSA.54.000762},
18 +        Journal = {J. Opt. Soc. Am.},
19 +        Month = {Jun},
20 +        Number = {6},
21 +        Pages = {762--764},
22 +        Publisher = {OSA},
23 +        Title = {Apodization and Interpolation in Fourier-Transform Spectroscopy},
24 +        Url = {http://www.opticsinfobase.org/abstract.cfm?URI=josa-54-6-762},
25 +        Volume = {54},
26 +        Year = {1964},
27 +        Bdsk-Url-1 = {http://www.opticsinfobase.org/abstract.cfm?URI=josa-54-6-762},
28 +        Bdsk-Url-2 = {http://dx.doi.org/10.1364/JOSA.54.000762}}
29 +
30 + @article{Naylor:2007rm,
31 +        Abstract = {Apodizing functions are used in Fourier transform spectroscopy (FTS) to reduce the magnitude of the sidelobes in the instrumental line shape (ILS), which are a direct result of the finite maximum optical path difference in the measured interferogram. Three apodizing functions, which are considered optimal in the sense of producing the smallest loss in spectral resolution for a given reduction in the magnitude of the largest sidelobe, find frequent use in FTS \[J. Opt. Soc. Am.66, 259 (1976)\]. We extend this series to include optimal apodizing functions corresponding to increases in the width of the ILS ranging from factors of 1.1 to 2.0 compared with its unapodized value, and we compare the results with other commonly used apodizing functions.},
32 +        Author = {David A. Naylor and Margaret K. Tahic},
33 +        Date-Added = {2014-02-20 16:45:24 +0000},
34 +        Date-Modified = {2014-02-20 16:45:24 +0000},
35 +        Doi = {10.1364/JOSAA.24.003644},
36 +        Journal = {J. Opt. Soc. Am. A},
37 +        Keywords = {Linewidth; Spectroscopy, Fourier transforms},
38 +        Month = {Nov},
39 +        Number = {11},
40 +        Pages = {3644--3648},
41 +        Publisher = {OSA},
42 +        Title = {Apodizing functions for Fourier transform spectroscopy},
43 +        Url = {http://josaa.osa.org/abstract.cfm?URI=josaa-24-11-3644},
44 +        Volume = {24},
45 +        Year = {2007},
46 +        Bdsk-Url-1 = {http://josaa.osa.org/abstract.cfm?URI=josaa-24-11-3644},
47 +        Bdsk-Url-2 = {http://dx.doi.org/10.1364/JOSAA.24.003644}}
48 +
49   @article{Morse:1929xy,
50          Author = {Morse, Philip M.},
51          Date-Added = {2014-02-19 21:18:41 +0000},

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