Digital Information: Converting Analog Data to Binary Flashcards
Analog
continuous stream of varying Data
can computers store analog Data
no only digital data which is finite because analog is super detailed and can change
how do computers store digital data
in a binary representation
how do computers turn analog into digital data (process steps)
sampling
quanitzation
binary encoding
Sampling
taking a sample of analog Data on a graph at regular time intervals in order to reduce the data into discrete intervals
sampling interval
the interval at which you take a sample from a set of analog Data
sampling rate
the number of samples in a second or other unit of time
sampling rate and sampling interval relationship
inversely proportional
what is a sufficient sampling rate
anything larger that twice the highest frequency in the signal
quantixation
reducing the set of data even further by making the y-values multiples of the same number –> os in a graph they look more like lines instead of waves
what error is there in the quantization step
the data becomes a little bit bad because you’re generaliziang it so it becomes less precise
binary encoding
when the quantized values are turned into binary code (0s and 1s)
bit depth
the number of bits per sample
Stanard bit depth is what
8 bits (byte)
lowest possible bit depth
1
