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Essay about Digital Audio

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• Introduction
Technology has paved a way for us to appreciate music in a more personal and convenient ways. Gone are the days that we need a huge investment, wide space and a stationary action for us to appreciate quality music: the CDs and walkmans that render us immobile, the lack of good earphone technology, and even the low-quality amplifiers have been gone.
A more interesting part in the technology that incorporates sound and music, however, is on how studios and computers facilitate recording and compressing sound without compromising quality. Indeed, without the use of compression technology, sound recordings will take up much bigger spaces than the compact files that we enjoy today. It is to be recalled that what was once a …show more content…

Digital Sampling should follow Nyquist’s theorem, where the sampling frequency should be at least twice the highest frequency component in the audio signal (Marshall, 2011). Significant loss of data would be experienced if there is a low sampling frequency. This is observable in CDs, where the maximum frequency in sampling is 44.1 kHz since the maximum comprehendible frequency is at 20 kHz.
Nyquist’s Theorem, however, has some implications. Before sampling the sound, it should be first fed into a low-pass filter to avoid phantom noises in the higher frequency regions (Marshall, 2011).
b. Audio Filtering
Composite signals, as shown in Figure 1, make up most, if not all, of the sounds we hear. These signals overlap in order to create the desired sound. Filtering adds or subtracts from these signals in order to create a synthetically-created desired sounds, much like the equalizers we use (Marshall, 2011). High and low-pass filters also demonstrate the principle by subtracting low and high frequency signals, respectively.
Time Domain Filtering approximates sounds as functions of time while Frequency Domain Filtering analyzes sounds through its component frequencies. Frequency Domain Filtering is recommended since it is easier to utilize. Fourier transformations are used in order to transform Time Domain Filtering into Frequency Domain Filtering. However, to

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