Midterm 1 Flashcards

(40 cards)

1
Q

Causal Signal

A

Signal starts on or after time 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Non Causal Signal

A

Signal starts before time 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Anti Causal Signal

A

Signal stops before time 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Analog

A

Continuous range of values for amplitude

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Digital

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Time shift of signal

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Time scale of signal

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Flip signal

A

signal flips across vertical axis
x(-t)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Periodic Signal

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Additivity

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Homogeneity

A

if x->y then kx->ky

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Superposition/Linearity

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Time-varying

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

u(t) plotting

A

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

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

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

A

du(t)/dt = delta(t)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
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
First Order Reverse Engineering
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
Second Order
Undamped, Underdamped, Critically Damped, Overdamped H(S) = k/(s-p1)(s-p2)
27
Undamped
p1 & p2 are imaginary & conjugate roots p1,2 = +-jw Oscillation: T = 2pi/w Decay Constant = 0 Steady state = k/p1p2
28
Underdamped
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
Critically Damped
p1 & p2 are real & equal roots steady state: k/p^2
30
Overdamped
p1 & p2 are real & distinct roots steady state: k/p1p2
31
Positive Feedback System
1. amplification 2. enhanced sensitivity 3. unstable Hn(S) = G(S) / (1 - H(S)G(S)
32
Negative Feedback System
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
Stable
Real parts of all poles are smaller than zero Re(p_n) < 0
34
Unstable
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
Marginally Stable
Real part of non-repeated pole is zero, Re(p_n) =0
36
BIBO stability
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
BIBO Steps
1. Derive net transfer function 2. Determine Poles of Net Transfer function 3. Investigate values of k which make system stable
38
Gain
G = lim (s->0) H(s)
39
Single frequency response
1. H(s) -> H(jw), s = jw 2. |H(jw)| 3.
40
Bode Plot Practice
Graph practice