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دانشجوعلاقه‌مند یادگیری
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نویسندهالهام‌گیری

Fourier Transforms in Spectroscopy

Jyrki Kauppinen, Jari Partanen

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مشخصات کتاب

سال انتشار
۲۰۰۱
فرمت
PDF
زبان
انگلیسی
حجم فایل
۴٫۰ مگابایت

دربارهٔ کتاب

This modern approach to the subject is clearly and logically structured, and gives readers an understanding of the essence of Fourier transforms and their applications. All important aspects are included with respect to their use with optical spectroscopic data. Based on popular lectures, the authors provide the mathematical fundamentals and numerical applications which are essential in practical use. The main part of the book is dedicated to applications of FT in signal processing and spectroscopy, with IR and NIR, NMR and mass spectrometry dealt with both from a theoretical and practical point of view. Some aspects, linear prediction for example, are explained here thoroughly for the first time. "This handbook covers all topics about Fourier transforms and their use in spectral applications. All important aspects are included with respect to their use with optical spectroscopic data. Some aspects of Fourier self-deconvolution and linear prediction are explained thoroughly for the first time, e. g. Linear Prediction which allows resolution enhancement and gives much more useful spectra." "Starting from the mathematical fundamentals, this book is suitable for graduate students as well as scientists and engineers working in this field. The main part of this book is dedicated to applications of FT in signal processing and spectroscopy. IR and NIR, NMR and mass spectroscopy are dealt with both in a theoretical and practical point of view."--Jacket Basic Definitions -- General Properties Of Fourier Transforms -- Discrete Fourier Transform -- Fast Fourier Transform (fft) -- Other Integral Transforms -- Fourier Transform Spectroscopy (fts) -- Nuclear Magnetic Resonance (nmr) Spectrometry -- Ion Cyclotron Resonance (icr) Mass Spectrometry -- Diffraction And Fourier Transform -- Uncertainty Principle -- Processing Of Signal And Spectrum -- Fourier Self-deconvolution (fsd) -- Linear Prediction. Jyrki Kauppinen, Jari Partanen. Includes Bibliographical References (p. [265]-267) And Index. The main part of the book is dedicated to applications of Fourier transforms in signal processing and spectroscopy. IR, NIR, NMR and mass spectrometry are dealt with from both a theoretical and practical point of view. Linear prediction is also explained.

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