Data Representation Flashcards

1
Q

Nibble

A

4 bits

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2
Q

Byte (B)

A

8 bits

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3
Q

Kilobyte (kB)

A

1000 bytes

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4
Q

Megabyte (MB)

A

1000 kB

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5
Q

Gigabyte (GB)

A

1000 MB

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6
Q

Terabyte (TB)

A

1000 GB

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7
Q

Petabyte (PB)

A

1000 TB

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8
Q

why must data be stored in binary

A

the computer architecture is built on electrical transistors which can alternate between two states (1/0) very fast

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9
Q

sound file size

A

sample rate x duration (s) x bit depth

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10
Q

image file size

A

colour depth x image height x image width

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11
Q

text file size

A

bits per character x number of characters

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12
Q

binary base

A

base 2

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13
Q

how is an analogue sounds wave converted into digital form

A

the sounds wave is sampled by measuring the amplitude at regular intervals. The samples are stored and the data is converted into binary.

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14
Q

overflow error can lead to

A

loss of data and accuracy

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15
Q

over flow error

A

when the total from adding binary numbers is 9 or more bits which is too big to be stored within the registers of a CPU

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16
Q

most significant bit

A

the bit with the largest value (left-most)

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17
Q

least significant bit

A

the bit with the smallest value (right-most)

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18
Q

left binary shift

A

multiplies, every shift doubles the number

19
Q

right binary shift

A

divides, every shift halves the number of

20
Q

hex base

21
Q

each hex character is equal to

A

a nibble in binary

22
Q

character set

A

collections of characters that a computer recognises from their binary representation

23
Q

character set egs

A

unicode, ASCII

24
Q

how many characters can ASCII represent (each character is given a 7-bit binary code)

A

128 different characters

25
metadata
the aditional information stored in an image file which helps the computer recreate the image on screen from the binary data in each pixel
26
metadata eg
file format, width, colour depth, date
27
colour depth
number of bits used for each pixel
28
image resolution
the number of pixels in the image
29
increasing colour depth and resoultion
increases file size and quality of an image
30
sample rate
how many samples are taken in a second, measured in Hz
31
bit depth
the number of bits available for each sample
32
increasing sample rate or bit depth
increases the file size and improves the quality (closer quality to the original recording)
33
analogue sounds are stored in
binary
34
duration
how many seconds of audio the sound file contains
35
lossy compression
permanently removing data from the file
36
lossless compression
makes the file smaller temporarily by removing data, then restores it to its original state when opened
37
need for compression
-files take up less storage space -downloading files is faster -allows you to send the same content with a much smaller file size
38
lossy pros
-reduced file size -takes up less bandwidth -commonly used
39
lossy cons
-loses data permanently -can’t be used on text or software files -worse quality then the original
40
lossless pros
-no reduction in quality -can be turned back to the original -can be used on text and software files
41
lossless cons
only a slight reduction in file size
42
e.g of lossy file type
MP3, JPEG
43
e.g of lossless file type
PNG