Computing Sampling

By Hamish Krompaszky

What is Sampling?

Sampling is when there is a sound file needing to be converted. What happens is a sample rate is then selected whether it is 8kbps or 320kbps they only affect the audio quality and size created. The sample rate is how many points is created inside a certain time, usually seconds. 8kbps means that the sample rate is extremely low and the computer will not follow and create a close comparison to the original audio created.

How does sample rates affect quality and size?

The sample rate affects quality and size on how many samples are taken. The less samples taken the worse the quality because the points along the audio will not be able to be followed exactly. However if it is higher then more points will be created and it will be easier to follow it more exact. This means there is less chance for Noise interference. The size will be affected because the less sample rate the less data and room it will take inside the storage device. This means that to have a decent quality and not take up all the hard drive then you need to have a balance of sample rates.

What is Bit rate?

Bit rate describes how many bits is transferred when converting audio into binary and visa versa. It defines the size of a file. It measures how many bits are transferred a second and is usually measured in seconds. The more bits the more audio which can be indentified which means the greater levels in audio can be achieved.

How bite rate affects quality and size?

Bit rate affects the size of the file because it is what controls the file size. It is how compressed the binary code is. Obviously the more compressed of a file the less size it will have however there will not be room for the quality music. This means that the more compressed it is the less likely it will be of a good quality. This is good for phones though because they have small memory capacity and cannot take large files or download them quickly.

How can audio be represented in binary?

Audio in binary is represented as a lot of 1s and 0s. When the noise is playing that is represented as a 1 in binary. When it is silent it is a 0. This makes it easy for the computer to understand the audio as it is the computers protocol.