This modules contains examples of stochastic processes. For the
material related to these examples, please refer to Introduction to Stochastic
Processes.
X
t
=cos2π
f
0
t+Θω
X
t
2
f
0
t
Θ
ω
where
f
0
f
0
is the deterministic carrier frequency and
Θω
Θ
ω
:
ω∈ℝ
ω
is a random variable defined over
-ππ
and is assumed to be a uniform random variable;
i.e.,
f
0
θ=12πif-ππ0otherwise
f
0
θ
1
2
0
F
X
t
b=Pr
X
t
≤b=Prcos2π
f
0
t+Θ≤b=Pr-π≤2π
f
0
t+Θ≤-arccosb+Prarccosb≤2π
f
0
t+Θ≤π
F
X
t
b
X
t
b
2
f
0
t
Θ
b
2
f
0
t
Θ
b
b
2
f
0
t
Θ
(1)
∫-π−2π
f
0
t-arccosb−2π
f
0
t12πdθ+∫arccosb−2π
f
0
tπ−2π
f
0
t12πdθ=2π−2arccosb12π
θ
2
f
0
t
b
2
f
0
t
1
2
θ
b
2
f
0
t
2
f
0
t
1
2
2
2
b
1
2
(2)
f
X
t
x=ddx1−1πarccosx=1π1−x2if|x|≤10otherwise
f
X
t
x
x
1
1
x
1
1
x
2
x
1
0
(3)
This process is stationary of order 1.
X
t
=cos2π
f
0
t+Θ
X
t
2
f
0
t
Θ
(4)
Pr
X
t
2
≤
b
2
|
X
t
1
=
x
1
=????
X
t
1
x
1
X
t
2
b
2
????
(5)
X
t
1
=
x
1
=cos2π
f
0
t+Θ⇒Θ=arccos
x
1
−2π
f
0
t
X
t
1
x
1
2
f
0
t
Θ
Θ
x
1
2
f
0
t
(6)
X
t
2
=cos2π
f
0
t
2
+arccos
x
1
−2π
f
0
t
1
=cos2π
f
0
t
2
−
t
1
+arccos
x
1
X
t
2
2
f
0
t
2
x
1
2
f
0
t
1
2
f
0
t
2
t
1
x
1
(7)
F
X
t
2
,
X
t
1
b
2
b
1
=∫-∞
b
1
Pr
X
t
2
≤
b
2
|
X
t
1
=
x
1
f
X
t
1
x
1
d
x
1
F
X
t
2
,
X
t
1
b
2
b
1
x
1
b
1
X
t
1
x
1
X
t
2
b
2
f
X
t
1
x
1
(8)
Every TT seconds, a fair coin is
tossed. If heads, then
X
t
=1
X
t
1
for
nT≤t<n+1T
n
T
t
n
1
T
.
If tails, then
X
t
=
-1
X
t
-1
for
nT≤t<n+1T
n
T
t
n
1
T
.
p
X
t
x=12ifx=112ifx=-1
p
X
t
x
1
2
x
1
1
2
x
1
(9)
X
t
X
t
is stationary of order 1.
Second order probability mass function
P
X
t
1
X
t
2
x
1
x
2
=
p
X
t
2
|
X
t
2
x
2
|
x
1
p
X
t
1
x
1
P
X
t
1
X
t
2
x
1
x
2
p
X
t
2
|
X
t
2
x
2
|
x
1
p
X
t
1
x
1
(10)
The conditional pmf
p
X
t
2
|
X
t
1
x
2
|
x
1
=0if
x
2
≠
x
1
1if
x
2
=
x
1
p
X
t
2
|
X
t
1
x
2
|
x
1
0
x
2
x
1
1
x
2
x
1
(11)
when
nT≤
t
1
<n+1T
n
T
t
1
n
1
T
and
nT≤
t
2
<n+1T
n
T
t
2
n
1
T
for some
nn.
p
X
t
2
|
X
t
1
x
2
|
x
1
=
p
X
t
2
x
2
p
X
t
2
|
X
t
1
x
2
|
x
1
p
X
t
2
x
2
(12)
for all
x
1
x
1
and for all
x
2
x
2
when
nT≤
t
1
<n+1T
n
T
t
1
n
1
T
and
mT≤
t
2
<m+1T
m
T
t
2
m
1
T
with
n≠m
n
m
P
p
X
t
2
X
t
1
x
2
x
1
=0if
x
2
≠
x
1
∧nT≤
t
1
∧
t
2
<n+1T
p
X
t
1
x
1
if
x
2
=
x
1
∧nT≤
t
1
∧
t
2
<n+1T
p
X
t
2
x
2
p
X
t
1
x
1
otherwise
P
p
X
t
2
X
t
1
x
2
x
1
0
x
2
x
1
n
T
t
1
t
2
n
1
T
p
X
t
1
x
1
x
2
x
1
n
T
t
1
t
2
n
1
T
p
X
t
2
x
2
p
X
t
1
x
1
(13)