Lecture 2 Flashcards

1
Q

sampling

A

the measurement of a signal intensity or signal’s amplitude at discrete time intervals

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2
Q

what affects the rate of sampling

A

how much information is preserved from the original continuous signal

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3
Q

adequate sampling

A

the highest frequency components of the continuous signal are preserved in the discrete signal

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4
Q

aliases

A

samples (the intensity of a signal) with lower frequencies

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5
Q

when does aliasing occur

A

undersampling a signal

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6
Q

nyquist-shannon sampling theorem

A

dictates how to prevent aliasing

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7
Q

how to prevent aliasing

A

make sure that at least 2 samples are taken from each sine wave and the sampling frequency is two times larger than the maximum frequency

fs > 2f max

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8
Q

Nyquist rate

A

given the max frequency, the sampling frequency should be two times larger

fs > 2fmax

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9
Q

oscillator

A

something that generates a tone

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10
Q

what is a phasor

A

a way of representing a sinusoidal signal in time by a vector

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11
Q

sinusoidal signal is defined by

A

magnitude (A)
phase (θ )
frequency (ω)

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12
Q

Changing “A” in the phasor demo reflects in?

A

changing the magnitude (applitude) of a sine wave

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13
Q

Changing the phase (θ theta) in the phasor demo reflects in?

A

changing the shift of the sine wave

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14
Q

Changing ω in the phasor

A

changing the frequency

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15
Q

the sampling rate is dependent on

A

how fast the signal fluctuates

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16
Q

True or False

Humans are sensitive to spatial frequency

A

True

17
Q

space varying sampling

(think about the resolution of the retina)

A

captures the high model

18
Q

Sunflower-distribution

A

represents how the human visual system perceive the world

high frequencies in the center, low in the periphery

19
Q

Schwartz model

A
  • Captures the variations between the sunflower distribution and the Stack model
  • Log polar map of what is received on the retina to the cortex
  • Reference point: fovea
20
Q

What is represented by the Stack model

(the pyramid of hectagones)

A

how we sample the world in different levels, how extensive the scope is depending on the resolution

lowest level: large extend
with lower resolution
(see the entire room)

highest level on the top: small in high resolution, examine something in detail
(reading a book)

21
Q

log-polar mapping

A
  • Approximates how brain perceives images in a non-uniform way
  • it’s a coordinate system in two dimensions
22
Q

What is aliasing
When does happen
How to prevent aliasing?

A
  1. Aliasing are samples with lower frequencies
  2. Occurs when we undersample a signal
  3. Make sure that at least 2 samples are taken from each sine wave and the sampling frequency is two times larger than the maximum frequency

fs > 2f max