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                          10.10.6 Spectral Aliasing Error
                          Spectral aliasing is the folding over of all signal and noise within the
                          bandpass of the system into the spectral free range, which spans from
                          0 to the Nyquist frequency (half the sampling frequency). To avoid
                          the overlapping of spectral features, it is important that any spectral
                          information outside the spectral range of interest be removed. This
                          can be done electrically with a low-pass filter, but this method does
                          not provide a sharp cut-off over the upper limit of the frequency
                          range or attenuation below the lower limit.  A more appropriate
                          method is to use an optical filter, which provides both a sharp cut-off
                          and very high attenuation outside the spectral range of interest. This
                          method also reduces photon noise.


                     Further Reading
                            1.  B. K. Yap, W.A.M. Blumberg, and R.E. Murphy, Applied Optics, Vol. 21, 4176
                             (1982).
                            2.  J. B. Johnson, Nature 119, 50 (1927).
                            3.  J. B. Johnson, Phys. Rev. 32, 97 (1928).
                            4.  D. R. White et al., Metrologia, Vol. 33, pages 325–335 (1996).
                            5.  D. D. Laporte, William L. Smith, and L.A. Sromosky, Applied Optics, Vol. 27,
                             3210 (1988).
                           6.  H. Nyquist, Phys. Rev. 32, 110 (1928).
                            7.  Hugh Lippincott, Notes on Johnson Noise, given on 19 February (2007).
                            8.  L. B. Kish, Phys. Lett. A 352, 178–182 (2006) /physics/0509136; A Cho. Science
                             309, 5744, and 2148 (2005).
                            9.  Peter R. Griffiths and James A. de Haseth, Fourier Transform Infrared Spectrometry,
                             Wiley-Inter-science.
                           10.  Sabrie Soloman, Sensors Handbook, McGraw-Hill Publishing Company, New
                             York, 2009.
                           11.  Sabrie Soloman, Sensors and Control Systems in Manufacturing, McGraw-Hill
                             Publishing Company, New York, 2009.
                           12.  Sabrie Soloman, Non-destructive Identification of Tablet and Tablet Dissolution
                             by Means of Infrared Spectroscopy. U.S. Patent Number 5,679,954.
                           13.  Sabrie Soloman, Real Time—On Line Analysis of Organic Compounds for Food,
                             Fertilizers, and Pharmaceuticals Products. U.S. Patent Number 5,900,634.
                           14.  Sabrie Soloman, Sabrie’s Index of NIR-Light Energy, Sensors Symposia, Seoul,
                             Korea, 2007.
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