Unit 1 Data Representation Flashcards

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1
Q

How is:

Sound recorded

A
  1. As an analogue wave
  2. Converted into digital format
  3. Done by Analogue to Digital converter(ADC)
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2
Q

How is:

Sound measured

A
  1. Sound wave is split through sampling
  2. measurements are taken through wave height
  3. This is done at regular intervals
  4. stored in binary
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3
Q

What is:

Sample rate

A
  1. Sample rate is samples/second
  2. Measured in Hz
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4
Q

What is:

Bit depth

A

Number of bits defining each pixel

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5
Q

What is:

Bit rate

A

data processed per second of sound

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6
Q

Formula for size of a:

Sound file

A

bit rate * time

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7
Q

Formula for an:

image

A

pixel resolution * colour depth * folder size

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8
Q

What is:

Data about an image

A

Meta data

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9
Q

What is:

meta data

A

information about a particular image

e.g. colour depth and pixel resolutio

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10
Q

What is the use of:

Hexadecimal

A

easier to read than binary
MAC address is in hex

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11
Q

How are:

Negative numbers stored

A

Through 2’s compliment
Do some practice
Some registers store negative numbers

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11
Q

What is:

Overflow error

A

Where there are not enough bits to store a calculation, so data is lost

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12
Q

How are:

Images created

A

Through a lot of individual pixels which have different colours by having a different shade of green, red and blue

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13
Q

What is:

ASCII

A
  • American Standard code for information interchange
  • uses 7 bits
  • stores 128 different characters
  • new extended version is 8 bit
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14
Q

What is:

Unicode

A
  • stores all possible characters/keys on a keyboard
  • over 65,000 storage capacity
  • 16 bits
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15
Q

What is a:

Binary shift

A

If all the 1s of a binary number are shifted left, the number doubles
Opposite applies as well

16
Q

What are the different:

Units for storage

A

Bit
Nibble (4bits)
Byte (2 nibbles)
Kibibyte (KiB) (1024 bytes)
Mebibyte (MiB) (1024 KiB)
Gibibyte (GiB) (1024 MiB)
Tebibyte (TiB) (1024 GiB)
Pebibyte (PiB) (1024 TiB)
Exbibyte (EiB) (1024 PiB)

17
Q

What is:

Compression

A

Reducing the size of a file

18
Q

What is:

Lossy compression

A
  • Removing unnecessary data
  • Can lead to a lower image quality
  • e.g. decreasing an image resolution or removing sounds above 16500Hz
19
Q

What is:

Lossless compression

A
  • Compression where no data is loss
  • Works by using an algorithm which re-writes the data in a more effective way e.g. Run Length Encoding which re-uses data at specific intervals
  • Original file can then be retreived by decoding the file algorithm
20
Q

What is:

Sample resolution

A

Number of bits used to describe the amplitude of a wave