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OCR Computer Science
Representing Sound in Binary
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Analog signals
Waves, data that is constantly changing and without defined ranges, naturally occurring signals like sound, light, pressure
Digital data
Data that forms
discrete
values that always fall within defined ranges,
set
values within these ranges
Converting analog to digital
1.
Sampling
the amplitude of the
analog
signal at regular time intervals
2. Assigning a
binary value
to
each reading
Sampling
Recording a signal at
regular
intervals
Sampling frequency
The number of samples obtained per second, measured in
Hertz
(per second)
Increasing sampling frequency
Improves quality of
digitized
sound wave,
increases
file size
Sample size
How many bits are available for each
sample
, also known as
bit depth
Bit rate
Bits
used per second, calculated as sampling frequency multiplied by sample size
Higher
bit rate
Leads to more
detailed
/better quality audio, but
larger
file size
File size =
bit rate x time
Sampling rate, sampling
frequency
, and sampling
resolution
are synonymous terms</b>