4.5 Fundamentals Of Data Representation Flashcards

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1
Q

Hex vs Binary (2)

A
  • code, read, spot errors
  • 2 vs 8 digits
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2
Q

Problems with Decimals (1)

A

Accuracy

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3
Q

Absolute and Relative Errors (3)

A

Absolute = original - binary
Relative = absolute/original
Percentage = relative

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4
Q

ASCII (4)

A
  • English alphabet
  • Simplify
  • Some Symbols
  • 7
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5
Q

Representation (2)

A
  • all have code associated
  • global, uniform
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6
Q

Unicode (3)

A
  • ASCII + languages + £% + 😄
  • ASCII used until Unicode needed
  • less bits
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7
Q

Parity Bit (2)

A
  • simplest form
  • even/odd - 1 bits
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8
Q

Majority Voting (3) reliability

A
  • fix interference
  • 3 times
  • more reliable but not 100%
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9
Q

Parity vs Majority (6)

A

Storage = little. More
Multiple errors = ❎ ✅
Error fixing = ❎ ✅
Ease of creation = easy. Easier
Processing = less. More
Reliability = not very. Very

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10
Q

Check Sums (3)

A
  • bytes of data block added
  • result transmitted with data
  • accepted is checksum = result
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11
Q

Check Digit (4) calculated?

A
  • many algorithms
  • calculated from code digits
  • on end —> compared
  • spot human error
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12
Q

Bitmapped Graphics (3)

A
  • resolution = width x height
  • metadata: height, width, colour depth, file type
  • photos, videos
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13
Q

Vector Images (3) (5)

A
  • objects layered + properties
  • logos
  • real life
  • quality
  • file size
  • edit
  • scalable
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14
Q

Sound (2)

A
  • sample rate = num samples per sec
  • sample resolution = num bits available each sample
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15
Q

Nyquist Theorem (1)

A
  • sampling resolution = 2 x highest frequency
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16
Q

MIDI (8) purpose, benefits etc

A
  • technical standard
  • protocol, digital interface, standard set of controllers
  • allow communication between computers and instruments to synthesise sound
  • controller —> event messages
  • pitch, vibrato, note length, easily changed
  • list of instructions
  • easy to modify
  • score generated directly from file
17
Q

Compression (4) comparison

A
  • text files/programs
  • transfer speed
  • reduction
  • original data can(not) be retrieved
18
Q

Run Length Encoding (3) examples

A
  • redundant repeating data
  • pixel by pixel, 1 instance + times repeated
  • images, sound
19
Q

Dictionary Encoding (2)

A
  • long passages, repeated words
  • word by word, dictionary, unique reference, replaced
20
Q

Caesar Cipher (2)

A
  • shift right n places
  • simple, easy to crack
21
Q

Vernam Cipher (4) (4) comparison

A
  • XOR gate (same = 1, diff = 0)
  • same length, random, once, secure
  • mathematically impossible
  • code, generate, range of keys, secure