Analog and Data Flashcards

1
Q

What is information?

A

Knowledge we want to record or transmit

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2
Q

What is a signal?

A

some means to record or transmit data or information

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3
Q

What are examples of signals?

A

voltage, current, handwritten note

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4
Q

What are the 2 types of Information?

A
  1. Inherently continuous
  2. Inherently discrete
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5
Q

What does inherently continuous refer to?

A

infinitely many values

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6
Q

What does inherently discrete refer to?

A

a finite number of values in any range

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7
Q

What are examples of inherently continuous?

A
  • mass
  • temperature
  • most other physical quantities
  • blood pressure
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8
Q

What are examples of inherently discrete?

A
  • days in a week
  • current study term
  • names of the cities
  • number of steps walked
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9
Q

What are the 2 main ways to represent information?

A
  1. Analog data
  2. Digital data
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10
Q

What kind of representation is analog data?

A

continuous representation

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11
Q

What kind of representation is continuous data?

A

discrete representation using a finite number of digits or symbols

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12
Q

What are examples of analog data?

A

thermometer

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13
Q

What are examples of discrete data?

A

digital clocks, speakers

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14
Q

What are the 2 methods for converting analog to digital data?

A
  1. Sampling (discretization)
  2. Quantization (truncation)
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15
Q

What does sampling do?

A

converts continuous variations to discrete snapshots

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16
Q

What does quantization do?

A

converts an infinite range of values to a finite one

17
Q

What is an example of going from analog data to digital data?

A
  • digitalization of video by using the still frames and dividing the picture into pixels
18
Q

What is the Nyquist-Shannon sampling theorem?

A

The sampling rate must be at least >2x the original frequency component of the signal

19
Q

What are the 2 ways we can prevent information from being lost when we convert from analog to digital?

A
  1. Nyquist-Shannon sampling theorem
  2. Quantization error models
20
Q

What is the Quantization error models?

A

represent the difference between an original analog signal and its quantized digital representation

21
Q

What is the basic representation for digital data?

A

binary digit using the symbol “b”

22
Q

One bit holds a valve of what?

23
Q

How many bits are in a byte?

24
Q

Does DVD use decimal or binary systems?

25
Q

Does CD use decimal or binary systems?

26
Q

Do computers work well with analog data?

A

No, they use digital data by breaking it down into discrete samples and then quantizing the values to approximate numbers

27
Q

What are some benefits of digital signal transmissions and storage?

A
  • Digital signals have only a high or low state (0,1)
  • Analog has continuous values which will fluctuate in ranges
28
Q

What is the transmission medium?

A

The level of the signal fluctuation will be due to the noise produced by external effects

29
Q

True or False
FOR ANALOG DATA:
Degradation of analog signals is permanent; there is no way to determine if the distortions were present beforehand

30
Q

True or False
FOR DIGITAL DATA:
If the distortion is small enough, it can completely regenerate the signal and regain in original shape

31
Q

What are the benefits of digital storage and compression?

A

Both analog and digital data can be recorded
- Digital copies are always completely identical to the original
- Error-detection and correction codes exist for digital data
- Compression (data redundancy removal) is much easier with mathematical algorithms that work with discrete values

32
Q

True or False
Digital data is easier to produce, transmit, can be regenerated and is easier to store and compress