Cheng-Fu Chou, CMLab, CSIE, NTU
Cheng-Fu Chou, CMLab, CSIE, NTU
r.v., Z-transform,
Laplace transform
Cheng-Fu Chou 2005.10.04
P. 2
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Outline
2 or more r.v. z transform Laplace transform P. 3PDF for 2 R.V.
Marginal Density Function 2
( , )
[
,
];
( , )
( , )
XY XY XYF
x y
P X
x Y
y
d F
x y
f
x y
dxdy
d
d
2 2 1 1 1 2 1 2 | [ , ] ( )Independent : ( ) ( ) ( ) Prob[X x]Prob[Y y] ( , ) ( | ) Prob[ | ] ( ) x y XY x y XY X Y XY X Y Y P x X x y Y y f xy dydx F xy F x F y F x y F x y X x Y y F y d d d d d d
³ ³
P. 4Function of Random Variable
Func. of r.v.
One important r.v. is where Xi are independent
( ) ( ) [ ] [{ : ( ( )) }] Y Y g X F y P Y dy P w g X w dy 1 n i i
Y
¦
X
P. 5
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Y = X
1+ X
2 PDF pdf Convolution 2 1 2 2 1 2 1 2 1 2 1 2 1 2 1 1 2 2 2 2 2( )
[
]
[
]
(
)
[
( )
]
( )
(
)
( )
Y y x X X y x X X X XF y
P Y
y
P X
X
y
f
x x dx dx
f
x dx f
x dx
F
y
x
f
x dx
f f f f f f f fd
d
³ ³
³ ³
³
1 2 2 2 2( )
(
)
( )
Y X Xf
y
ff
y
x
f
x dx
f³
1 2( )
( )
( )
Y X Xf
y
f
y
f
y
P. 6Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Convolution Ex.
• f(n) • 2/3 as n = 1 • 1/3 as n = 2 • g(n) • 1/2 as n = 1 • 1/2 as n = 2 h(n) = f(n) g(n) = ? P. 7Ex. (cont.)
h(0) = f(0)g(0) = 0 h(1) = f(1)g(0) + f(0)g(1) = 0 h(2) = f(2)g(0) + f(1)g(1) + f(0)g(2) = 1/3 h(3) = f(3)g(0)+f(2)g(1)+f(1)g(2)+f(0)g(3) = ½ h(4) = f(4)g(0)+f(3)g(1)+f(2)g(2)+f(1)g(3)+f(0)g(4) = 1/6 P. 8z transform
Consider a function of discrete time fn s.t. – fn t 0 for n = 0, 1, 2, … – fn = 0 for n = -1, -2, … – 0
( ) where ( )
n n n nf
F z
F z
¦
ff z
P. 9
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Examples
Ex1: Ex2: 0 00,1, 2,...
( )
(
)
n n n n n n nf
A
for n
F z
A
z
A
Z
z
D
D
D
D
f f?
$
¦
¦
0Convolution property
n n n n k k kf
g
¦
f
g
P. 10Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Convolution Property
0 0 0 0 0 0 0 0 [ ] [ ] [ ] ( ) ( n n n n n k k n k n n k k n k k n k k n k k n k k n k k n k k n k k n k k m k m k m f g f g z f g z z g z f z g z f z g z f z G z F f f f f f f f f ¦ ¦
¦ ¦
¦ ¦
¦
¦
¦
¦
) z P. 11Properties of z transform
0 1 1 1 1 0 0 0 1 1 1 1 0 0 0 0 1. ( ) 2. ( ) ( ) 3. ( ) 1 1 4. [ ( ) ] 5. ( ) 6. ( ) 7. ( ) ( ) n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n n f F z f z af bg aF z bG z a f F az f f z f z F z f z z f f z z f z zF z dz d nf nf z f z z F z dz dz f g F z G z f f f f f f f ¦
¦
¦
¦
¦
¦
¦
P. 12Properties (cont.)
1 0 0 0 0 0 08.
( )
( )
(1
) ( )
( )
9.
,
0,1, 2,...
1
10.
(n is a parameter of )
( )
11. (1)
12. (0)
n n n n n k n k k k k k n k k n k n n n nf
f
F z
zF z
z F z
F z
f n
f z
f z z
z
f
f
F z
a
a
F
f
F
f
f f f f
w
w
w
w
¦
¦¦
¦¦
¦
P. 13
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
z Transform pair
0 0 2 2 0 1 0 1. ( ) 1 0 2. 1 3. 1 0,1,... 1 4. 1 5. 1 6. (1 ) 7. (1 ) 1 8. ( ) ! !Read and derive Table I.1 and I.2
n k n k n n n k n k n n n n n n z n n U F z otherwise U z for n z z z z A A A z z z n z z n z z F z e n n G G D D D D D D f f f ® ¯ ¦ ¦ ¦ P. 14
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
z transform : difference equation
Ex: 1 2 0 1
1
6
5
6( )
2, 3, 4,...
5
6
0;
5
n n n ng
g
g
n
g
g
P. 15
z-transform and moment
0 1 1 0 0 2 2 2 0 2 2 2 1 2 0 ( ) ( ) ( ) ( ) ( 1) ( ) ( ) n n n n n z n n n n n n z n n G z f z dG z dG z nf z nf X dz dz d G z n n f z dz d G z n n f X X dz f f f f f
¦
¦
¦
¦
¦
P. 16Laplace transform
Def: Ex 1. Ex 2.1.
* ( )
( )
;
2. ( )
* ( )
stF
s
f t e dt
f t
F
s
f f
³
0
( )
0
otherwise
atAe
t
f t
t
®
¯
1
0
( )
0
0
t
t
t
G
®
t
¯
P. 17
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Convolution
f(t) and g(t) take on non-zero values for tt0
( )
( )
(
) ( )
f t
g t
ff t
x g x dx
f
³
P. 18
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Properties
1 1. ( ) ( ) * ( ) * ( ) 2. ( ) * ( ) 3. ( ) * ( ) 4. ( ) * ( ) 5. ( ) * ( ) * ( ) 6. ( ) ( 1) ( ) 7. * ( 1) 1 as at n n n n s s af t bg t aF s bG s t f aF as a f t a e F s e f t F s a d tf t F s ds d F s t f t ds f t F s ds t f ³
P. 19Properties (cont.)
1 1 ( ) 8. ?( * ( ) (0 )) ( ) 9. * ( ) (0 ) ... (0 ) * ( ) 10. ( ) * ( ) 11. ... ( )( ) n n n n n t t t n n df t sF s f dt d f t s F s s f f dt F s f t dt s F s f t dt s f f f ³
³ ³
P. 20Differential eq.
Find f(t) 2 2 ( ) 6 ( ) 9 ( ) 2 ; (0 ) (0 ) 0; d f t f t f t t dt dt df f dtP. 21
Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Random Sum
1 2 0 0 0 Given ... , findare i.i.d. is a discrete non-negative r.v. * ( ) * ( | ) P[ ] * ( | ) [ * ( )] * ( ) [ * ( )] [ ] Note that ( ) [ ] Relate with [ * ( )] * ( ) N i n n n n n n n Y X X X Y X N Y s Y s N n N n Y s N n X s Y s X s P N n N z P N n z z X s Y s f f f
¦
¦
¦
[ * ( )] N X s P. 22Cheng-Fu Chou, CMLAB, CSIE, NTU
Cheng-Fu Chou, CMLAB, CSIE, NTU
Ex.
1 2 ...
are i.i.d. exponentally distributed, N is geometrically distributed. (a) Find [ ]. (b) what is var[ ]. N i Y X X X X E Y Y