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Electronic Engineering: Year One > Information and Systems > Flashcards

Information and Systems Flashcards

1
Q

What defines something as analogue in nature?

A
  • The signal can take any value and there are infinite possibilities
  • The value of the signal varies with time
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2
Q

What defines something as digital in nature?

A
  • Anything that deals in the realm of the discrete
  • There is a limited set of values they can take
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3
Q

Define a bit

A

A binary digit

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4
Q

Define a byte

A

A sequence of 8 bits

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5
Q

Define a word

A

A sequence of N bits

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6
Q

What base is decimal?

A

Base-10

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7
Q

What base is binary?

A

Base-2

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8
Q

What base is hexadecimal?

A

Base-16

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9
Q

What does ADC stand for?

A

Analogue-to-digital converter

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10
Q

What is the role of an ADC?

A

To sample an analogue signal in order to produce a digital representation of the data in such a way that no important information is lost

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11
Q

State the Nyquist-Shannon Theorem

A

The sampling frequency must be at least two times the maximum frequency

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12
Q

In practice, what is the range of the sampling frequency?

A

Between two times and ten times the maximum frequency

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13
Q

Why is the Nyquist-Shannon Theorem used?

A
  • Most signals consist of a mix of frequencies
  • So, twice the max frequency ensures it is captured
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14
Q

What happens when sampling below the Nyquist rate?

A

Signal information is lost meaning received signal will appear lower than original signal

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15
Q

Define ADC resolution

A

The smallest voltage that can be represented digitally

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16
Q

How do you calculate resolution?

A

Voltage range/N - 1

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17
Q

How finely will an 8-bit ADC digitise a signal that occupies a voltage range of 0V to 5V?

A
  • 2⁸ = 256
  • 5/256-1 = 0.02V or 20mV
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18
Q

What is combination logic?

A
  • In a circuit, output depends only on combination of its inputs
  • Output is not influenced by previous inputs
  • Circuit has no memory
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19
Q

What are the typical applications of combination logic?

A
  • Data transfer circuits: control logic flow around a system
  • Data processing circuits: process/transform data
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20
Q

How can data circuits be described?

A
  • Truth table
  • Boolean expression
  • Circuit diagram
  • Timing diagram
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21
Q

What type of Boolean expressions can’t be obtained from a truth table?

A

Expressions in minimised form

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22
Q

When can Boolean expression not be obtained from a truth table?

A

Never, they always can be obtained

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23
Q

Define Shannon’s expansion theorem

A

If there is a simplified Boolean expression, it’s fundamental form can always be found

24
Q

How does Shannon’s expansion theorem work?

A

By normalising each “AND” term with (X + X̄), where X is the missing variable

25
Use Shannon's expansion theorem to find the fundamental form of Y = A + BC
- Y = A(¬B+B)(¬C+C) + BC(¬A+A) - Y = A¬B¬C + A¬BC + AB¬C + ABC + ¬ABC + ABC - Y = A¬B¬C + A¬BC + AB¬C + ABC + ¬ABC
26
Why are Boolean expressions minimised?
- Complex Boolean expressions lead to complex very circuits - So, by minimising, complexity and ultimately cost are reduced
27
What are the minimisation techniques?
- Boolean algebra/Inspection of truth tables - Karnaugh maps - Quine McCluskey techniques
28
In a Boolean expression, what are product terms?
Expressions where Boolean variables are AND'd together
29
In a Boolean expression, what are sum terms?
Expressions where Boolean variables are OR'd together
30
What are octets, quads and duals?
Groups of 8,4 and 2 minterms in the K-map respectively
31
Define minterms
A 1 in a single cell of a K-map which represents a fundamental product term
32
Define prime implicants
A grouping of minterms
33
Define essential prime implicants
- A term which must be included in the minimised Boolean expression - Otherwise, all minterms won't be captured and an incorrect expression will result
34
What is a "don't care" product term?
- A term which value isn't defined by the problem - Therefore, a 0 or 1 can be added to these terms to aid minimisation
35
What does the number of columns in a truth table represent?
The sum of the number of inputs and the number of outputs
36
What does the number of rows in a truth table represent?
The number of input combinations
37
What is a fundamental product term?
- A term containing all input variables which are AND'd together - Relates to a unique combination of input variables and therefore represents a single unique truth table row
38
Determine the appropriate specification of an ADC for an analogue signal with max frequency 20kHz, min frequency 0Hz, voltage range 0V-2V and peak-to-peak noise voltage of 64µV
- Resolution(ΔV) = Vrange/N-1 - N = Vrange/Resolution(ΔV) + 1 - N = 2V/64µV + 1 = 31251 levels - log₂(31251) = 14.93... = 15 bits
39
State De Morgan's Theorem
- Complementing the result of OR'ing variables together is equivalent to AND'ing the complements of the individual variables - Complementing the result of AND'ing variables together is equivalent to OR'ing the complements of the individual variables
40
Use De Morgan's Theorem on "Y = ¬(A+B)"
Y = ¬A x ¬B
41
What can be constructed from an AND gate and 2 inverters?
A NOR gate
42
What can be constructed from an OR gate and 2 inverters?
A NAND gate
43
Simplify A.A
A.A = A
44
Simplify A + A
A + A = A
45
Simplify A.¬A
A.¬A = 0
46
Simplify A + ¬A
A + ¬A = 1
47
Simplify A.0
A.0 = 0
48
Simplify A.1
A.1 = A
49
Simplify A + 0
A + 0 = A
50
Simplify A + 1
A + 1 = 1
51
True or False, Y = A + B is the same as Y = B + A?
True
52
True or False, Y = A.B is the same as Y = B.A?
True
53
True or False, Y = (A.B).C is not the same as Y = A.(B.C)
False
54
True or False, Y = (A+B)+C is the same as Y = A+(B+C)
True
55
Expand A.(B+C)
A.(B+C) ----> (A.B)+(A.C)
56
Expand A+(B.C)
A+(B.C) ----> (A+B).(A+C)
57
Expand (A+B).(C+D)
- Let X = A+B - X.(C+D) = (X.C)+(X.D) - (A+B)C + (A+B)D - AC + BC + AD + BD

Electronic Engineering: Year One (6 decks)

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