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Related Concept Videos

Harmonic Mean01:09

Harmonic Mean

The arithmetic mean is usually skewed towards the larger values in the data set. Therefore, to avoid this inherent bias towards smaller values, the harmonic mean is used.
Take the example of the speed of a car, which is the measure of the rate of distance traveled. If the vehicle traverses the same distance back-and-forth, its average speed equals the total distance traveled divided by the total time taken. However, if the car moves with varying speeds, then the arithmetic mean is more skewed...
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Simple harmonic motion is the name given to oscillatory motion for a system where the net force can be described by Hooke's law. If the net force can be described by Hooke's law and there is no damping (by friction or other non-conservative forces), then a simple harmonic oscillator will oscillate with equal displacement on either side of the equilibrium position. To derive an equation for period and frequency, the equation of motion is used. The period of a simple harmonic oscillator is given...
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Modes of Standing Waves - I01:03

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A close look at earthquakes provides evidence for the conditions appropriate for resonance, standing waves, and constructive and destructive interference. A building may vibrate for several seconds with a driving frequency matching the building's natural frequency of vibration; this produces a resonance that results in one building collapsing while the neighboring buildings do not. Often, buildings of a certain height are devastated, while other taller buildings remain intact. This phenomenon...
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Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
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Patterning via Optical Saturable Transitions - Fabrication and Characterization
08:19

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Published on: December 11, 2014

Forward masking patterns for harmonic complex tones.

B C Moore, B R Glasberg

    The Journal of the Acoustical Society of America
    |May 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

    This study on auditory perception found that the starting phase of a signal does not affect detection thresholds. Masking patterns reveal that the brain primarily processes the first few harmonics of complex sounds.

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    Area of Science:

    • Auditory Neuroscience
    • Psychoacoustics
    • Signal Processing

    Background:

    • Complex tones are fundamental to sound perception.
    • Understanding how the auditory system processes harmonic components is crucial for explaining sound recognition and localization.

    Purpose of the Study:

    • To investigate the influence of masker harmonic structure on auditory signal detection.
    • To determine the effective number of harmonics processed by the auditory system.

    Main Methods:

    • Utilized complex tones with varying fundamental frequencies (100-400 Hz) and harmonics as maskers.
    • Employed brief sinusoidal signals (10-40 ms) presented immediately after maskers.
    • Measured detection thresholds using an adaptive, two-alternative forced-choice procedure.

    Main Results:

    • Signal detection thresholds were unaffected by the starting phase of the signal relative to the masker.
    • Masking patterns exhibited distinct peaks for the first 3-4 harmonics of the complex tones.
    • No significant peaks were observed for harmonics beyond the fourth.

    Conclusions:

    • The auditory system's processing of complex tones is dominated by lower-order harmonics.
    • Spectral "ripple" in internal representations is minimal (≤3 dB) for harmonics above the fifth, suggesting limited neural encoding of these higher components.