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Related Concept Videos

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
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Infrared (IR) Spectroscopy: Overview

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.
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IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

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 the 3500–3100 cm−1 range. Even though both O−H and N−H bonds vibrate at a similar...
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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
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The energy transport per unit area per unit time, or the Poynting vector, gives the energy flux of an electromagnetic wave at any specific time. For a plane electromagnetic wave with E0 and B0 as the peak electric and magnetic fields and traveling along the x-axis, the time-varying energy flux can be given by the following equation:

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Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
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Experimental wavelet based denoising for indoor infrared wireless communications.

Sujan Rajbhandari1, Zabih Ghassemlooy, Maia Angelova

  • 1Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, UK. sujan.rajbhandari@eng.ox.ac.uk

Optics Express
|June 6, 2013
PubMed
Summary
This summary is machine-generated.

Wavelet denoising effectively removes fluorescent light interference in indoor optical wireless communications. This technique outperforms high-pass filtering for all tested modulation schemes.

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Optical Communications

Background:

  • Indoor optical wireless communication systems are susceptible to fluorescent light interference.
  • Existing denoising methods like high-pass filtering have limitations in mitigating this interference.

Purpose of the Study:

  • To investigate the efficacy of wavelet denoising techniques for indoor optical wireless communications.
  • To compare wavelet denoising with traditional high-pass filtering under fluorescent light interference.

Main Methods:

  • Experimental implementation of wavelet denoising for various modulation schemes.
  • Verification of experimental results through computer simulations.
  • Comparative analysis against high-pass filtering.

Main Results:

  • Wavelet denoising successfully mitigated fluorescent light interference in experimental setups.
  • Computer simulations confirmed the superior performance of wavelet denoising.
  • Significant advantages observed for all baseband modulation schemes.

Conclusions:

  • Wavelet denoising is a highly effective technique for improving signal quality in optical wireless communications.
  • This method offers a notable improvement over high-pass filtering in the presence of fluorescent light noise.