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
Does CD use decimal or binary systems?
binary
26
Do computers work well with analog data?
No, they use digital data by breaking it down into discrete samples and then quantizing the values to approximate numbers
27
What are some benefits of digital signal transmissions and storage?
- Digital signals have only a high or low state (0,1) - Analog has continuous values which will fluctuate in ranges
28
What is the transmission medium?
The level of the signal fluctuation will be due to the noise produced by external effects
29
True or False FOR ANALOG DATA: Degradation of analog signals is permanent; there is no way to determine if the distortions were present beforehand
True
30
True or False FOR DIGITAL DATA: If the distortion is small enough, it can completely regenerate the signal and regain in original shape
True
31
What are the benefits of digital storage and compression?
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
True or False Digital data is easier to produce, transmit, can be regenerated and is easier to store and compress
True