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Related Concept Videos

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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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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Related Experiment Video

Updated: Aug 8, 2025

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
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Persistent Homology Approach for Human Presence Detection from 60 GHz OTFS Transmissions.

Roman Maršálek1, Radim Zedka1, Erich Zöchmann1

  • 1Department of Radio Electronics, Brno University of Technology, 601 90 Brno, Czech Republic.

Sensors (Basel, Switzerland)
|February 28, 2023
PubMed
Summary

Orthogonal Time Frequency Space (OTFS) enables integrated sensing and communication (ISaC) by monitoring people using 60 GHz waves. Persistent homology processing of delay-Doppler responses outperforms standard methods in realistic conditions.

Keywords:
CFAROTFSmillimeter-wavespersistent homologyperson detection

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Area of Science:

  • Wireless communication
  • Signal processing
  • Integrated sensing and communication (ISaC)

Background:

  • Orthogonal Time Frequency Space (OTFS) is a novel modulation waveform for next-generation ISaC systems.
  • OTFS offers environment-awareness and high-speed data transmission.
  • Existing methods often assume integer ratios for delay-Doppler components, limiting real-world application.

Purpose of the Study:

  • To present original results of OTFS-based person monitoring measurements.
  • To evaluate OTFS performance under realistic conditions without restrictive assumptions.
  • To introduce and assess persistent homology for processing OTFS delay-Doppler responses.

Main Methods:

  • Conducting person monitoring measurements using OTFS in the 60 GHz band.
  • Analyzing delay-Doppler responses without assuming integer ratios.
  • Applying persistent homology to process the gathered data.
  • Comparing persistent homology with the constant false alarm rate (CFAR) detector.

Main Results:

  • Demonstrated the feasibility of OTFS for person monitoring in realistic scenarios.
  • Showcased the effectiveness of persistent homology in processing delay-Doppler responses.
  • Highlighted advantages of persistent homology over standard CFAR detection in specific cases.

Conclusions:

  • OTFS is a viable waveform for ISaC, enabling person monitoring.
  • Persistent homology offers a robust method for analyzing OTFS data in complex environments.
  • The proposed method enhances sensing capabilities in integrated systems.