Abstract
The method known as Burg’s maximum entropy algorithm has been applied to the time domain signals measured and recorded in a mass spectrometer known as Fourier transform ion cyclotron resonance (FTICR) mass spectrometer. Ordinarily several thousands of data points are obtained and analyzed by application of a fast Fourier transform algorithm to obtain the frequency domain spectra which are then converted to mass spectra. In this paper we describe some results that we have obtained by adapting Burg’s algorithm to our FTICR, and will show that by employimg ahandful of data points, mass spectra can be gotten that are superior to those obtained by the FFT techniques.
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© 1990 Kluwer Academic Publishers
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Rahbee, A. (1990). Burg Algorithm Applied to Fourier Transform ION Cyclotron Resonance Mass Spectrometry. In: Fougère, P.F. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0683-9_26
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DOI: https://doi.org/10.1007/978-94-009-0683-9_26
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6792-8
Online ISBN: 978-94-009-0683-9
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