Tatjana Miljković1, Miloš Bjelić1, Jelena Ćertić1

  • 1School of Electrical Engineering, University of Belgrade, Bulevar kralja Aleksandra 73, Belgrade, 11000, Serbia.

概括

一个修改的部分频率偏差 (PFD) 算法通过识别和排除幻影部分来改善琴音的不协调系数估计. 这提高了音乐乐器分析和合成的准确性.

相关概念视频

Modes of Standing Waves - I01:03

Modes of Standing Waves - I

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...
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Problem-Solving: Tuning of a Guitar String01:04

Problem-Solving: Tuning of a Guitar String

In the case of stringed instruments like the guitar, the elastic property that determines the speed of the sound produced is its linear mass density or the mass per unit length. This is simply called the linear density. If the string's linear density is constant along the string, then the linear density is simply the total mass divided by the total length.
The string's wave speed can be regulated by varying the linear density. Tension is the other property that determines the speed of...
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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.
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Standing Waves01:17

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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
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