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Related Concept Videos

Interference: Path Lengths01:10

Interference: Path Lengths

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Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
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Discrete Fourier Transform01:15

Discrete Fourier Transform

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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...
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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IR Frequency Region: Fingerprint Region01:03

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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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Sound Waves: Interference00:53

Sound Waves: Interference

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Sound waves can be modeled either as longitudinal waves, wherein the molecules of the medium oscillate around an equilibrium position, or as pressure waves. When two identical waves from the same source superimpose on each other, the combination of two crests or two troughs results in amplitude reinforcement known as constructive interference. If two identical waves, that are initially in phase, become out of phase because of different path lengths, the combination of crests with troughs...
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Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

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Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
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Ultra-low frequency vibration detection based on long-arm time-accumulation interference scheme.

Ying Guo, Xiangge He, Xuefeng Chen

    Optics Express
    |September 23, 2025
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    Summary

    A new ultra-low frequency acoustic sensor uses long-arm time-accumulation (LATA) interference for sensitive vibration detection. This method achieves detection as low as 0.05 Hz, overcoming system noise challenges.

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    Area of Science:

    • Acoustic sensing
    • Optical interferometry
    • Vibration detection

    Background:

    • Ultra-low frequency acoustic sensing is vital for seismic monitoring, military operations, and pipeline surveillance.
    • Low-frequency system noise in distributed vibration detection systems presents a significant challenge.
    • High sensitivity is required for effective detection in these critical applications.

    Purpose of the Study:

    • To propose and demonstrate a novel scheme for ultra-low frequency vibration detection.
    • To overcome limitations posed by system noise in low-frequency acoustic sensing.
    • To develop a highly sensitive sensor for applications requiring detection of subtle vibrations.

    Main Methods:

    • Utilizing a long-arm time-accumulation (LATA) interference scheme.
    • Employing a double-pulse heterodyne coherent laser interferometric distributed acoustic wave detection signal method.
    • Demodulating detected phase sinusoidal waveform signals to obtain vibration data.

    Main Results:

    • Demonstrated ultra-low frequency vibration detection down to 0.05 Hz.
    • Verified performance in both reflective and transmissive system architectures.
    • Showcased effective suppression of common-mode noise (CMN) using a symmetric structure, enhancing detection performance.

    Conclusions:

    • The proposed LATA interference method enables ultra-low frequency vibration detection with high sensitivity.
    • Symmetric structures are effective in mitigating common-mode noise, improving sensor performance.
    • The developed technology holds promise for large-scale monitoring applications like earthquake prediction and geological exploration.