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The experiment indicates that the choice of method for determining sound velocity significantly influences the results.
The predictions of the two models are compared, to reveal the physical mechanisms determining sound transmission.
Measurements were carried out on a building to evaluate the uses of statistical energy analysis for determining sound transmission performance.
It has so far been employed primarily as a qualitative visualization tool for airborne sound propagation because determining sound pressure level at a point using the technique is difficult and inefficient.
Thus, the different cues for determining sound location, (interaural time and level disparities and pinna spectral cues) are computed in separate nuclei and are first brought together in the ICs.
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So the knock started, that small yet determined sound.
An energy source simulation method (ESSM) has been developed to determine sound energy density.
This paper presents an efficient method to determine sound power levels (PWLs) of the near noise sources generated by the simultaneous operation of multiple machines.
In Part I, it was shown that boundary element method calculations could successfully be applied to determine sound amplification by a tyre/road geometry.
In this work, we present an experimental study using NIS to determine sound velocities of five different compositions of (Mg,Fe)(Si,Al O3 bridgmanite at pressures between 0 and 89 GPa at room temperature, including a comparison with results for (Mg,Fe)(Si,Al O3 majorite with the same composition.
The acoustic performance has been evaluated by determining the sound absorption coefficient and the airborne sound insulation in a reverberation room.
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