This is the first book to explain certain aspects of Fourier self-deconvolution and linear prediction. Starting from the mathematical fundamentals, the authors cover the applications of Fourier transforms in signal processing and spectroscopy, and also include the field of linear signal prediction which allows resolution enhancement and provides much more useful spectra. Clear and logically structured, the book is suitable for graduates as well as scientists and engineers working in this field.
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Spektroskopiker, Molekülphysiker, Ingenieure für Nachrichtentechnik, Elektrotechniker, Universitätsbibliotheken
Illustrationen
153
153 s/w Abbildungen
Illustrations
Maße
Gewicht
ISBN-13
978-3-527-40289-2 (9783527402892)
Schweitzer Klassifikation
Professor Dr. Jyrki Kauppinen, born 1944, Dept. of Applied Physics, University of Turku, Finland
Dr. Jari Partanen, Technical Officer, Dept. of Applied Physics, University of Turku, Finland
Prof. Kauppinen is one of the world specialists of Fourier transform applied to spectra analysis. He is an excellent lecturer, his courses are very popular with the students. Has also given lectures in various industry laboratories.
His group works closely with some manufacturers who are converting laboratory interferometers and spectrometers into commercial instruments.
Well known both from the community of chemists and physicists.
I MATHEMATICAL FUNDAMENTALS: Basic Definitions; General Properties of Fourier Transforms; Discrete Fourier Transforms; Fast Fourier Transforms; Laplace and Other Integral Transforms; II SPECTRAL APPLICATIONS: Fourier Transform Spectroscopy; Fourier Transform Nuclear Magnetic Resonance (NMR) Spectrometry; FT Ion Cyclotron Resonance Mass Spectrometry; Diffraction and Fourier Transform; Uncertainty Principle; Signal Processing; Fourier Self-Deconvolution; Linear Prediction.
