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Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

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In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
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Aliasing01:18

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
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When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
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A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
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Spectral density constraints on wireless communication.

Mohammad Kaisb Layous Alhasnawi1,2, Shahab Abdulla3, David Fatseas2

  • 1Faculty of Administration and Economics, Sumer University, Thi-Qar, Iraq.

Heliyon
|May 29, 2020
PubMed
Summary
This summary is machine-generated.

New regulations for electromagnetic field (EMF) exposure are proposed. Devices should limit EMF spectral density to ensure overall safety, addressing limitations in current wireless communication standards.

Keywords:
Computer scienceEMFEMF spectral densityElectrical engineeringElectromagneticsEnvironmental risk assessmentExposure limitsHigh performance computingNetwork (computer science)Power constraintsQuality of lifeRadiation physicsRadiologySignal processingWave physics

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Area of Science:

  • Environmental Health
  • Electromagnetics
  • Wireless Communication

Background:

  • Rising environmental exposure to man-made electromagnetic fields (EMF) due to technological advancements.
  • Current EMF regulations are insufficient for simultaneous transmissions from multiple devices.
  • Existing regulations may impact wireless communication system design.

Purpose of the Study:

  • To propose a novel approach for regulating EMF exposure from wireless devices.
  • To ensure human health safety amidst increasing EMF sources.
  • To address the inadequacy of current EMF limitations for coexisting transmitters.

Main Methods:

  • Advocating for EMF spectral density limits instead of total EMF bands.
  • Proposing devices actively measure existing EMF spectral density.
  • Recommending devices limit their generated EMF spectral density to the difference between the maximum allowed and the measured ambient level.

Main Results:

  • The proposed method ensures aggregate EMF spectral density remains below regulated limits.
  • This approach provides a more robust safety framework for EMF exposure.
  • It offers a clear guideline for the design of wireless communication systems.

Conclusions:

  • Transmitted power constraints should be redefined based on EMF spectral density.
  • Limiting EMF spectral density by individual devices guarantees overall EMF safety.
  • The proposed regulation method enhances the safety of wireless communication technologies.