1 Flashcards

1
Q

Whats a signal?

A

-Functions of 1 or more independent variables that carry information

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2
Q

Whats a system?

A

-A system processes a signal and has inputs and outputs.
We can have a input being continuous or discrete.
- Systems can be linear or nonlinear
-Time invariant or time variant

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3
Q

1D- Example signals:

A
  • speech vs amplitude graph
  • stock price vs price
  • Electrocardiogram (ECG) trace vs voltage
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4
Q

2D- Example signals:

A
  • photo
  • Measured MRI data
  • A powerpoint slide
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5
Q

System examples:

A
  • Microphone
  • MRI scanner
  • Webcam
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6
Q

Example 2D discrete function:

A

-A slice of a MR image

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7
Q

A 3D function gives one value for three independent variables

A

-3 orthogonal slices through a 3D brain image

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8
Q

Example 3D function

A

-A video

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9
Q

continuous wave function:

A

-x(t) = Acos(w(0)+phi)
A - amplitude
w(0) - frequency
phi - phase

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10
Q

Whats does a time shift cause?

A

A phase change

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11
Q

Whats does a time shift cause?

A

A phase change

-Within this there’s always a value of t(0) that equivalents to a phase shift

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12
Q

What does changing the phase equate to?

A
  • Changing the time variable
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13
Q

When is a function even?
Periodic function:
x(t) = x(t+T(0))
even: x(t) = x(-t)

A
  • When its reflected about the origin, its exactly the same, its symmetric, reflected in the y axis
  • If we replace the time argument by its negative, the function itself doesn’t change.
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14
Q

When is a function odd?

Whats the algebraic expression?

A
  • The mirror image flipped over
  • x(t) = x(t+T(0))
    odd: x(t) = -x(t)
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15
Q

-What do we know about discrete time cases?

A

In discrete time the functions are not periodic

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16
Q

How do we know if a function is periodic?

A
  • If omega(0)(the period) is a multiple of 2*pi

- If not then its not periodic

17
Q

What do we know about time and space change for a continuous function?

A
  • They are always equivalent
  • Is always periodic
  • Its periodic for any case of omega (0)
18
Q

In the discrete time case, how do we know if its continuous?

A

-Its periodic only if 2*pi/omega(0) can be multiplied by an integer to get another integer

19
Q

In the discrete time case, as we vary the frequency (omega(0)), what happens?

A
  • We only see distinct signals for omega(0) varying over a 2*pi interval. we’ll see the same sequences repeat.
  • sinusoidal functions will be the same
20
Q

In the continuous time case, as we vary frequency?

A

we’ll always see different sinusoidal signals.

-sinusoidal functions will always be different

21
Q

For an exponential, what does a time shift correspond to?

A
  • A scale change

- Ce^(at)

22
Q

Real exponential: discrete time case

A

Ce^(Beta(n)) = C(alpha)^n

23
Q

Whats -j equal to?

A

e^(-jpi/2)

24
Q

Whats 1 equal to?

A

e^(jalpha/2) * e^(-jalpha/2)

25
Q

What can we rewrite 2jsin(-x) as?

A

(-2jsin(x))
or
e^(-x) - e^(x)

26
Q

What is the frequency and time period independent of?

A

-The time delay and phase difference

27
Q

How may we know if two signals are the same for all values of t? This is for discrete time signals

A
y(t) = x(t) for all values of t if:
w(y)=w(x) 
and
w(x)T(x) + theta(x) = w(y)T(y)+theta(y)+2*pi*k
-Remember k can equal 0
28
Q

How to find the period for a discreet time signal?

A

We need the smallest N such that omegaN = 2pik for some integer k > 0.
-If we get an integer for n then the function is periodic
pi/3N = 2pik
T = 6
k = (pi/3)6=2pi so k =1

29
Q

Re write the discrete signal x[4-n]?

A

x[-(n-4)]

30
Q

What does x[2n] do?

A

Generates a new signal with x[n] for even values of n

31
Q

What difficulty arises when we try to define a signal as.x[n/2]?

A

The difficulty arises when we try to evaluate x[n/2] at n = 1, for example (or generally for n an odd integer). Since x[1/2] is not defined, the signal x[n/2] does not exist.

32
Q

cos(t) in exponential form?

A

e^(t)+e(t)/2

33
Q

sin(t) in exponential form?

A

e^(jt)-e^(-jt)/2j

34
Q

Let x[n] and y[n] be periodic signals with fundamental periods Ni and N2, respectively. Under what conditions is the sum x[n] + y[n] periodic, and what is the fundamental period of this signal if it is periodic?

A

Similarly, x[n] + y[n] will be periodic if there exist integers n and k such that nN = kN2. But such integers always exist, a trivial example being n = N2 and k = N1 . So the sum is always periodic with period nN, for n the smallest allow­ able integer.

35
Q

Let x(t) and y(t) be periodic signals with fundamental periods Ti and T2, respec­ tively. Under what conditions is the sum x(t) + y(t) periodic, and what is the fundamental period of this signal if it is periodic?

A

The sum x(t) + y(t) will be periodic if there exist integers n and k such that nT1 = kT 2, that is, if x(t) and y(t) have a common (possibly not fundamental) period. The fundamental period of the combined signal will be nT1 for the small­ est allowable n.