Before we can understand digital audio, we must first have a very general understanding of how sound occurs naturally. Sound is actually a mechanical wave that is propagating through the air (typically, but it can travel through other mediums as well). A basic visual illustration of sound is the sine wave.
A sine wave a represents a pure tone which is a single frequency. This sounds something like the emergency broadcast signal or the sound the TV makes when the colored bars appear, a long sustained beep. All sound is made up of these types of waves at different frequencies superimposed on each other (this forms the waveform you see on your DAW when you are editing).
Analog recording such as to a magnetic tape or a lathe (for vinyl records) used a microphone as a transducer (makes the same wave in the air, but with electricity), and stored the wave information either magnetically or with actual grooves as on a record.
Digital audio is recorded differently. One can think of digital audio being captured and recorded by taking very fast snapshots of the waveform (on the order of more than 44000 snapshots per second). This process is called sampling.
This is where digital audio really shines. Once the waveform or “data” is captured in this digital form, it becomes very malleable when using a computer and mathematical formulas. This is how we gain the power to do non linear editing and apply convolution algorithms. Read the rest of this entry »