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Related Concept Videos

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

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A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
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Infrared (IR) Spectroscopy: Overview01:09

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
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IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

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In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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IR Spectrometers01:25

IR Spectrometers

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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...
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Compressive sensing in the EO/IR.

M E Gehm, D J Brady

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    Summary
    This summary is machine-generated.

    Compressive sensing (CS) offers a viable approach for electro-optic/infrared (EO/IR) applications by enabling efficient data acquisition. This study explores CS frameworks, economic viability, and successful experimental outcomes for practical adoption.

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    Area of Science:

    • Optics and Photonics
    • Signal Processing
    • Remote Sensing

    Background:

    • Electro-optic and infrared (EO/IR) systems traditionally face challenges with data acquisition and processing.
    • Compressive sensing (CS) has emerged as a powerful technique for signal reconstruction from undersampled data.

    Purpose of the Study:

    • To investigate the utility and applicability of compressive sensing (CS) in electro-optic and infrared (EO/IR) applications.
    • To provide a comprehensive overview of the CS framework, including its historical development.
    • To identify economically viable application areas for CS within the EO/IR domain.

    Main Methods:

    • Review of historical antecedents and modern compressive sensing (CS) framework development.
    • Economic analysis to determine the viability of CS for EO/IR systems.
    • Presentation of experimental success stories demonstrating CS feasibility.

    Main Results:

    • CS demonstrates significant potential for enhancing EO/IR applications.
    • Economic arguments support the viability of CS in specific EO/IR scenarios.
    • Experimental results confirm the feasibility of CS-based approaches.

    Conclusions:

    • Compressive sensing (CS) is a promising technology for advancing EO/IR applications.
    • Further research is needed to address challenges for practical adoption of CS methods.
    • Identifying key application areas will accelerate the integration of CS into EO/IR systems.