Semester 1 Flashcards

1
Q

What does a CPU do?

A

Central Processing Unit
Executes instructions, performs calculations, controls input and output

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2
Q

What does main memory do?

A

Short term memory directly accessible to CPU. Programs run from here, data being used stored here

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3
Q

What does a hard drive do?

A

Long term storage of data or programs not currently being used

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4
Q

What is an analogue quantity?

A

A continuously varying quantity

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5
Q

What is a digital quantity?

A

A quantity defined as a serries of discrete values

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6
Q

What signals do computers require?

A

Signals that are digital: discrete in amplitude and time

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7
Q

How are digital signals represented?

A

In binary

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8
Q

What determines the range of measurement in digital signals?

A

Reference voltage Vᵣ

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9
Q

How do you calculate a discrete, digital value for an analogue measured value V(t)?

A

x =|V(t) * 2ᴺ / vᵣ |
vᵣ is reference voltage
N is the number of bits
|| is the floor(truncation) operator

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10
Q

How do you calculate the resolution of a digitized singal?

A

vᵣ / 2ᴺ

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11
Q

How is the sampling frequency and the time separating each sample related?

A

fₛ is sampling frequency
Δt = 1 / fₛ

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12
Q

Why must the sampling frequency must be much higher than the frequency you want to measure?

A

Because if fₛ ≤ f, then aliasing occurs
Usually use fₛ > 10f

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13
Q

Define accuracy

A

Closeness of measurements to actual value

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14
Q

Define precision

A

Consistency of the measurement

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15
Q

Define resolution

A

Smallest measurable change

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16
Q

What does noise affect from accuracy, precision and resolution?

A

precision and resolution
not accuracy!

17
Q

Define noise.

A

Random fluctuation of electrical signal unrelated to what is being measured, equivalent to having a random error in each measurement.

18
Q

How should we treat the measurement voltage V(t) in relation to the signal and noise?

A

As a superposition / sum
V(t) = Vₛ(t) + Vₙ(t)

19
Q

What are the two ways of quantifying noise?

A
  • Root mean square amplitude Vrms
  • Signal to noise ratio SNR
20
Q

How do you calculate Vrms?

A

sqrt( 1/T 0->T∫V²(t).dt )

21
Q

How do you calculate the SNR?

A

Average Signal power / average noise power
Pₛ /Pₙ
Vₛ² / Vₙ²

22
Q

How do you convert SNR to decibels

A

SNR(dB) = 10 log₁₀ (SNR)

23
Q

What does amplification do?

A
  • Increases amplitude total electrical signal (including noise) by gain, G.
  • Reduces SNR by noise factor of amplifier
  • Improves resolution by matching output to range of system
24
Q

What is averaging?

A

Repeating the same measurement and finding the average response

25
Q

How does the average noise be calculated after averaging?

A

V ₐᵥₑ = Vₙ / sqrt(M)
where M is the number of measurements

26
Q

How can you find the SNR of an averaged system?

A

SNR(ave) = M x SNR
M is the number of measurements