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Related Concept Videos

IR Spectrometers01:25

IR Spectrometers

There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
Fast Fourier Transform01:10

Fast Fourier Transform

The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
Properties of Fourier Transform II01:24

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Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Related Experiment Video

Updated: Jun 17, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

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Published on: December 30, 2025

Fourier Transform versus Grating Spectroscopy.

H A Gebbie

    Applied Optics
    |January 15, 2010
    PubMed
    Summary

    All passive spectroscopic instruments function as interferometers. Reducing beams to two maximizes energy throughput, but requires Fourier transformation for spectral analysis, now feasible with digital computers.

    Area of Science:

    • Spectroscopy
    • Optical Physics
    • Interferometry

    Background:

    • Passive spectroscopic instruments are fundamental tools in scientific analysis.
    • Understanding the underlying principles of these instruments is crucial for advancements in spectral analysis.
    • Traditional methods often involve trade-offs between energy throughput and spectral resolution.

    Purpose of the Study:

    • To elucidate the fundamental operating principle of all passive spectroscopic instruments.
    • To demonstrate that these instruments are a form of interferometer.
    • To highlight the advantages of a two-beam configuration in spectroscopy.

    Main Methods:

    • Analysis of passive spectroscopic instrument design.
    • Theoretical examination of beam division and delay in spectral analysis.

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  • Exploration of the relationship between energy throughput and the number of beams.
  • Discussion of computational methods for spectral data processing.
  • Main Results:

    • Passive spectroscopic instruments operate on the principle of beam division and controlled delay, characteristic of interferometers.
    • A minimum of two beams offers maximum energy throughput.
    • Fourier transformation is essential for interpreting complex spectra from two-beam interferometers.
    • Modern digital computers facilitate the necessary Fourier transformations efficiently.

    Conclusions:

    • All passive spectroscopic instruments are fundamentally interferometers.
    • The two-beam interferometer design offers optimal energy throughput for spectral analysis.
    • Digital computation has revolutionized spectral data interpretation, empowering spectroscopists with advanced analytical capabilities.