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Application of maximum entropy methods in NQR data processing

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Abstract

The superiority of maximum entropy method (MEM) over the traditional fast Fourier transform (FFT) method is demonstrated in NQR spectral analyses. Using computersimulated and real spectral data, a comparative study was made between the maximum entropy and the conventional discrete Fourier transform methods. It is concluded that use of MEM in NQR spectroscopy can lead to sensitivity improvements, reduction of instrumental artifacts and truncation errors, shortened data acquisition times and automatic suppression of noise, while at the same time increasing the resolution. A property of MEM which is particularly significant for two-dimensional NQR spectroscopy is its ability to produce spectral estimates from the short data records, free of truncation artifacts. The use of MEM in two-dimensional NQR studies can lead to reduction of the time necessary to acquire two-dimensional set.

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References

  1. Ernst R.R.: Advances in Magnetic Resonance, vol.2, pp. 1–135. New York: Academic Press 1966.

    Google Scholar 

  2. Burg J.P. in: Proceedings of the 37th Meeting Society of Exploration Geophysicists, Oklahoma City, OK, 31 October 1967.

  3. Gull S.F., Skilling J.: IEE Proc.131(F), 646–659 (1984)

    Google Scholar 

  4. Lane E.D., Skilling J., Staunton J., Sibisi S., Brereton R.G.: J. Magn. Reson.62, 437–452 (1985)

    Google Scholar 

  5. Hoch J.C.: J. Magn. Reson.64, 436–440 (1985)

    Google Scholar 

  6. Lae E.D., Mayer M.R., Skilling J., Staunton J.: J. Magn. Reson.68, 14–29 (1986)

    Google Scholar 

  7. Stern A.S., Hoch J.C.: J. Magn. Reson.97, 255–270 (1992)

    Google Scholar 

  8. Ni F., Scherage H.A.: J. Raman Spectrosc.16, 337–349 (1985)

    Article  ADS  Google Scholar 

  9. Kay S.M., Marple S.L.: Proc. IEEE69, 1380–1419 (1981)

    Article  Google Scholar 

  10. Eguchi T., Mano K., Nakamura N.: Z. Naturforsch.44a, 15–18 (1989)

    Google Scholar 

  11. Jaynes E.T. in: Maximum Entropy and Bayesian Methods in Applied Statistics (Justice J.H., ed.). Cambridge: Cambridge 1986.

    Google Scholar 

  12. Akaike H.: Ann. Inst. Statist. Math.21, 243–247 (1969)

    Article  MathSciNet  MATH  Google Scholar 

  13. Sharma S., Weiden N., Weiss A.: Ber. Bunsenges. Phys. Chem.90, 725–730 (1986)

    Google Scholar 

Download references

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Maćkowiak, M., Kątowski, P. Application of maximum entropy methods in NQR data processing. Appl. Magn. Reson. 5, 433–443 (1993). https://doi.org/10.1007/BF03162539

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