02 - Analog vs. Digital Signals Flashcards

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0
Q

Analog Signals are continuous in _______ and in _______.

A

Time

Amplitude

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1
Q

What are examples of an Analog Signal?

A

Speech Sounds

Musical Tone

Displacement of the middle ear bones

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2
Q

What is a Digital Signal?

A

Discrete Time Signal

It only exists at discrete points. It is not continuous. There are empty moments in between.

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3
Q

How does digitizing work? (2)

A

You need a representative sample.

You just need to know how accurate the digital representation needs to be.

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4
Q

What does “digitization” literally mean?

A

To convert into numbers (digits) so that the information can be stored in numeric form

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5
Q

What are the two main operations in digitization?

A

Sampling

Quantization

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6
Q

Before sampling & quantization, the signal may be passed through a _______ and a ______.

A

Pre-Emphasis Filter

Pre-Sampling (Lowpass) Filter

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7
Q

What does a Pre-Emphasis Filter do?

A

Boosts the higher frequencies

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8
Q

What does a Pre-Sampling (Lowpass) Filter do?

A

Rejects the energy above the highest frequency of interest

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9
Q

In the long term average of speech, is there more energy in the high frequencies or the low frequencies?

A

Low Frequencies

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10
Q

Why do we need to boost the intensity of the high frequencies?

A

To make these levels to equal to that of the low frequencies

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11
Q

What is Sampling?

A

Taking “samples” at given intervals

This makes the analog signal discrete in time

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12
Q

What does a sampling rate of 10,000 Hz (10 kHz) mean?

A

That the analog signal has been sampled 10,000 times per second

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13
Q

What is Nyquist’s Sampling Theorem?

A

That the number of samples taken must be TWICE the highest frequency of interest

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14
Q

Why does the sampling rate need to be at least twice the rate of the highest frequency?

A

To avoid aliasing

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15
Q

What is Aliasing?

A

When the higher frequencies aren’t sampled frequently enough, they appear as lower frequencies

16
Q

What are the two things that usually cause Aliasing?

A

Undersampling

No Lowpass Filter

17
Q

What are three ways to avoid Aliasing?

A

Determine the highest frequency of interest

Filter the energy above the highest frequency of interest

Sample the signal at at least twice the rate of the highest frequency of interest.

18
Q

What is a Quantum?

A

An increment of energy

19
Q

What is Quantization?

A

It converts the amplitude (energy level) of the samples

It makes the amplitude of the signal discrete

20
Q

What is the Quantization rate often called?

A

Resolution

21
Q

What is Quantization measured in?

A

Bits

22
Q

What are Bits?

A

Binary digits

23
Q

How many Bits does a 1-bit system have?

A

2 levels

24
Q

How many Bits does a 8-bit system have?

A

256 levels

(2⁸)

25
Q

How many Bits does a 16-bit system have?

A

65,536 levels

(2¹⁶)

26
Q

In Quantization, do you store the positive output, the negative output or both?

A

Positive

27
Q

What are the steps to Analog-to-Digital Conversion? (6)

A

Acoustic Signal

Pre-Emphasis Filter

Pre-Sampling (Lowpass) Filter

Sampler

Quantizer

Encoder

28
Q

What is Zipper Noise?

A

The noise that comes from square edging

29
Q

What is Square Edging?

A

How the sinwave becomes “choppy” due to the lesser quantization

30
Q

Do we listen to the digital signal?

A

No, it must be converted back into analog form

There is usually a final lowpass filter to smooth out the signal

31
Q

What are the steps to A/D and D/A conversion?

(6)

A

Acoustic Pressure Wave (Sound)

Microphone

Analog-to-Digital Conversion

Processing & Storage

Digital-to-Analog Conversion

Audio Output

32
Q

What kind of signal is this?

A

Analog

33
Q

What kind of signal is this?

A

Digital

34
Q

What is going on with the dotted line?

A

Aliasing