Leo Lam © 2010-2013 Signals and Systems EE235. Courtesy of Phillip Leo Lam © 2010-2013.
Leo Lam © 2010-2013 Signals and Systems EE235. Leo Lam © 2010-2013 Happy Tuesday! Q: What is...
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Transcript of Leo Lam © 2010-2013 Signals and Systems EE235. Leo Lam © 2010-2013 Happy Tuesday! Q: What is...
Leo Lam © 2010-2013
Signals and Systems
EE235
Leo Lam © 2010-2013
Happy Tuesday!
• Q: What is Quayle-o-phobia? • A: The fear of the exponential (e).
Leo Lam © 2010-2013
Today’s scary menu
• Wrap up LTI system properties• Onto Fourier Series!
Leo Lam © 2010-2013
Stability of LTI System
4
• An LTI system – BIBO stable
• Impulse response must be finite
3( )h d B
Bounded input
system
Bounded output
B1 , B2, B3 are constants
Leo Lam © 2010-2013
Stability of LTI System
5
• Is this condition sufficient for stability?
• Prove it:
3( )h d B
abs(sum)≤sum(abs)
abs(prod)=prod(abs)
bounded input
if
Q.E.D.
Leo Lam © 2010-2013
Stability of LTI System
6
• Is h(t)=u(t) stable?• Need to prove that 3( )h d B
Leo Lam © 2010-2013
Invertibility of LTI System
7
• A system is invertible if you can find the input, given the output (undo-ing possible)
• You can prove invertibility of the system with impulse response h(t) by finding the impulse response of the inverse system hi(t)
• Often hard to do…don’t worry for now unless it’s obvious
( ) (
( )
( ) (( )* ( ))* ( )*( ( )* )
( ) ( )
( (
(
)
)
)
)
i
i i
h t
h t h ty t x t h t x t h t
x t t x t
h t t
Leo Lam © 2010-2013
LTI System Properties
8
• Example
– Causal?– Stable?– Invertible?
( ) 5 ( 1)h t t
1( ) ( 1)
5ih t t YES
5 ( 1) 5t dt
YES
( ) 0 for 0h t t YES
Leo Lam © 2010-2013
LTI System Properties
9
• Example
– Causal?– Stable? YES
YES
2( ) 3 ( )th t e u t( ) 0 for 0h t t
2 2
0
3| 3 ( ) | 3
2t te u t dt e dt
Leo Lam © 2010-2013
LTI System Properties
10
• How about these? Causal/Stable?
| |( ) th t e
( ) ( 1)h t u t
0.5( ) 3 cos(200 ) ( )th t e t u t
Stable, not causal
Causal, not stable
Stable and causal
Leo Lam © 2010-2013
LTI System Properties Summary
11
For ALL systems• y(t)=T{x(t)}• x-y equation
describes system• Property tests in
terms of basic definitions– Causal: Find time
region of x() used in y(t)
– Stable: BIBO test or counter-example
For LTI systems ONLY
• y(t)=x(t)*h(t)• h(t) =impulse
response• Property tests on
h(t)– Causal: h(t)=0 t<0– Stable:
| ( ) |h t dt
Leo Lam © 2010-2013
Exponential response of LTI system
12
• Why do we care?• Convolution = complicated• Leading to frequency etc.
Leo Lam © 2010-2013
Review: Faces of exponentials
13
• Constants for with s=0+j0
• Real exponentials forwith s=a+j0
• Sine/Cosine for
with s=0+jw and a=1/2• Complex exponentials for
s=a+jw
atx )( Rastaetx )(
atetx )( Rastetx )(
)cos()( ttx R
)()( stst eeatx stetx )( Cs
Leo Lam © 2010-2013
Exponential response of LTI system
14
• What is y(t) if ? )(*)( thety st
Given a specific s, H(s) is a constant
S
Output is just a constant times the input
Leo Lam © 2010-2013
Exponential response of LTI system
15
LTI
• Varying s, then H(s) is a function of s• H(s) becomes a Transfer Function of the
input• If s is “frequency”…• Working toward the frequency domain
Leo Lam © 2010-2013
Eigenfunctions
16
• Definition: An eigenfunction of a system S is any non-zero x(t) such that
• Where is called an eigenvalue.• Example:
• What is the y(t) for x(t)=eat for
• eat is an eigenfunction; a is the eigenvalue
)()( txtxS
( ) ( )d
y t x tdt
Ra)()( taxaety at
S{x(t)}
Leo Lam © 2010-2013
Eigenfunctions
17
• Definition: An eigenfunction of a system S is any non-zero x(t) such that
• Where is called an eigenvalue.• Example:
• What is the y(t) for x(t)=eat for
• eat is an eigenfunction; 0 is the eigenvalue
)()( txtxS
( ) ( )d
y t x tdt
0a)(00)( txty
S{x(t)}
Leo Lam © 2010-2013
Eigenfunctions
18
• Definition: An eigenfunction of a system S is any non-zero x(t) such that
• Where is called an eigenvalue.• Example:
• What is the y(t) for x(t)=u(t)
• u(t) is not an eigenfunction for S
)()( txtxS
( ) ( )d
y t x tdt
)()()( tautty
Leo Lam © 2010-2013
Recall Linear Algebra
19
• Given nxn matrix A, vector x, scalar l• x is an eigenvector of A, corresponding to
eigenvalue l ifAx=lx
• Physically: Scale, but no direction change• Up to n eigenvalue-eigenvector pairs (xi,li)
Leo Lam © 2010-2013
Exponential response of LTI system
20
• Complex exponentials are eigenfunctions of LTI systems
• For any fixed s (complex valued), the output is just a constant H(s), times the input
• Preview: if we know H(s) and input is est, no convolution needed!
S
Leo Lam © 2010-2013
LTI system transfer function
21
LTIest H(s)est
( ) ( ) sH s h e d
• s is complex• H(s): two-sided Laplace Transform of h(t)
Leo Lam © 2010-2013
LTI system transfer function
22
• Let s=jw
• LTI systems preserve frequency• Complex exponential output has same
frequency as the complex exponential input
LTIest H(s)est
( ) j tx t Ae LTI ( ) ( ) j ty t AH j e
Leo Lam © 2010-2013
LTI system transfer function
23
• Example:
• For real systems (h(t) is real):
• where and• LTI systems preserve frequency
( ) j tx t Ae LTI ( ) ( ) j ty t AH j e
tjtj eettx 2
1)cos()( tjtj ejHejHty )()(
2
1)(
)()( jHjH
)cos()( tAty
)( jHA )( jH
Leo Lam © 2010-2013
Importance of exponentials
24
• Makes life easier• Convolving with est is the same as
multiplication• Because est are eigenfunctions of LTI systems• cos(wt) and sin(wt) are real• Linked to est
Leo Lam © 2010-2013
Quick note
25
LTIest H(s)est
( )st ste e u t
LTIestu(t) H(s)estu(t)
Leo Lam © 2010-2013
Which systems are not LTI?
26
2 2
2 2
2
5
5
cos(3 ) cos(3 )
cos(3 ) sin(3 )
cos(3 ) 0
cos(3 ) cos(3 )
t t
t jt t
t
e T e
e T e e
t T t
t T t
t T
t T e t
NOT LTI
NOT LTI
NOT LTI
Leo Lam © 2010-2013
Summary
• Eigenfunctions/values of LTI System