Data Interpolation and Its Effects on Digital Sound Quality - McMurry ...

2AbstractSound is a continuous analog wave. In modern times, technology has managedto compress sound into digital files. This involves taking certain points along thesound wave <strong>and</strong> throwing the wave itself away, thus potentially losing minordetails in the sound therefore compromising the overall quality of the sound. Thisproject is an aim to attempt to improve the sound quality of digital sound byimplementing different interpolation techniques to fill in data that is missing froma digital sound file. These techniques were tried on two samples (one perfectsound wave, <strong>and</strong> one imperfect sound wave) to determine any change in theoverall quality. This was accomplished by implementing a r<strong>and</strong>om numbergenerator to generate data points which would then become the basis points fora sound file. These data points were read into a separate program written toimplement the chosen interpolation method, <strong>and</strong> then saved the interpolateddata. In doing so, I found that one method of performing Cubic Splineinterpolation results in moderate improvement to the file.