Midterm 1 Flashcards

1
Q

Causal Signal

A

Signal starts on or after time 0

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2
Q

Non Causal Signal

A

Signal starts before time 0

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3
Q

Anti Causal Signal

A

Signal stops before time 0

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4
Q

Analog

A

Continuous range of values for amplitude

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5
Q

Digital

A

Finite number of values for amplitude (ex. 0 or 1)

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6
Q

Time shift of signal

A

Right: T>0
Left: T< 0
x(t-T)

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7
Q

Time scale of signal

A

Compression by a, a>1
Expansion by 1/a, 0<a<1
x(at)

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8
Q

Flip signal

A

signal flips across vertical axis
x(-t)

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9
Q

Periodic Signal

A

Exists repeating for all of t, continuous forever signal, is non causal

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10
Q

Additivity

A

if x1-> y1
x2->y2
then x1+x2 -> y1+y2

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11
Q

Homogeneity

A

if x->y then kx->ky

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12
Q

Superposition/Linearity

A

Order shouldn’t matter so
k1x1 + k2x2 -> k1y1 + k2y2
Additivity and homogeneity both work for system

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13
Q

Time-invariant

A

if x(t) -> y(t)
then x(t-T) should give y(t-T)
doesn’t matter if x is processed by system first or time delay

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14
Q

Time-varying

A

Order of system process or time delay matter, will not yield same answer

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15
Q

u(t) plotting

A

Practice graphing u(t-2), u(3t), sin(t)u(t), etc..

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16
Q

Relationship between Step Function (u(t)) & Step Impulse (delta(t))

A

du(t)/dt = delta(t)

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17
Q

Five steps to model Biomedical System

A
  1. Schematic of sys.
  2. Identify input & output
  3. Establish sys. equations
  4. Specify initial conditions
  5. Simplify equations to describe input-output relationship
18
Q

Conservation of Electric Charge

A

Sum current @ node = 0. KCL, resistor, capacitor, inductor

19
Q

Conservation of Electric Energy

A

Sum voltage in loop = 0. KVL, resistor, capacitor, inductor

20
Q

Conservation of Momentum

A

Sum of Forces = 0, mechanical sys, springs, dampers, mass, etc.

21
Q

Conservation of Mass

A

Sum of Q = 0, Fluid mechanical, can convert to electrical ~= sum of current at node = 0. Q –> i, P –> v, R –> R

22
Q

Laplace under Zero State initial conditions

A

D–>s
ex)(D^2 + 5D + 6)y(t) = (D+1)x(t)
–>
(s^2 + 5s +6)y(s) = (s+1)x(s)

23
Q

Full Laplace question

A
  1. x(t) -> X(S)
  2. concert sys. to freq. domain
  3. solve sys. in freq. domain for Y(S)
  4. Y(S) -> y(t) (could include partial fraction expansion)
24
Q

Transfer function

A

H(S) = Y(S)/X(S)

25
Q

First Order Reverse Engineering

A

H(S) = k/(s-p)
Steady state: -k/p
t_1/2 = -ln(2)/p

solve for p, solve for k, get H(S)

26
Q

Second Order

A

Undamped, Underdamped, Critically Damped, Overdamped
H(S) = k/(s-p1)(s-p2)

27
Q

Undamped

A

p1 & p2 are imaginary & conjugate roots
p1,2 = +-jw
Oscillation: T = 2pi/w
Decay Constant = 0
Steady state = k/p1p2

28
Q

Underdamped

A

p1 & p2 are complex & conjugate roots
p1,2 = sigma +- jw
Oscillation T = 2pi/w
Decay = sigma (from e^sigma*t)
Steady state = k/p1p2

29
Q

Critically Damped

A

p1 & p2 are real & equal roots
steady state: k/p^2

30
Q

Overdamped

A

p1 & p2 are real & distinct roots
steady state: k/p1p2

31
Q

Positive Feedback System

A
  1. amplification
  2. enhanced sensitivity
  3. unstable
    Hn(S) = G(S) / (1 - H(S)G(S)
32
Q

Negative Feedback System

A
  1. increased accuracy/reliability
  2. reduced sensitivity to disturbances/noise
  3. used for automatic control
  4. stable
    Hn(S) = G(S) / (1 + H(S)G(S)
33
Q

Stable

A

Real parts of all poles are smaller than zero Re(p_n) < 0

34
Q

Unstable

A

Real part of a pol is larger than 0, Re(p_n) > 0
Real part of a repeated pole is 0, Re(p1=p2) = 0

35
Q

Marginally Stable

A

Real part of non-repeated pole is zero, Re(p_n) =0

36
Q

BIBO stability

A

Real part for all poles in net transfer function are less than 0
If all subsystems are internally stable –> BIBO stable
but BIBO stable does not mean all subs are internally stable

37
Q

BIBO Steps

A
  1. Derive net transfer function
  2. Determine Poles of Net Transfer function
  3. Investigate values of k which make system stable
38
Q

Gain

A

G = lim (s->0) H(s)

39
Q

Single frequency response

A
  1. H(s) -> H(jw), s = jw
  2. |H(jw)|
  3. <H(jw)
40
Q

Bode Plot Practice

A

Graph practice