Signals and Systems EE235 Leo Lam © 2010-2013 Today’s menu • Sampling/Anti-Aliasing • Communications (intro) Leo Lam © 2010-2013
Download ReportTranscript Signals and Systems EE235 Leo Lam © 2010-2013 Today’s menu • Sampling/Anti-Aliasing • Communications (intro) Leo Lam © 2010-2013
Slide 1
Signals and Systems
EE235
Leo Lam © 2010-2013
Slide 2
Today’s menu
• Sampling/Anti-Aliasing
• Communications (intro)
Leo Lam © 2010-2013
Slide 3
How to avoid aliasing?
• We ANTI-alias.
time signal
x(t)
Anti-aliasing
filter
X(w)
Sample
Z(w)
B
Leo Lam © 2010-2013
ws > 2wc
wc < B
Reconstruct
z(n)
Slide 4
Bandwidth Practice
• Find the Nyquist frequency for:
-100
s 200
Leo Lam © 2010-2013
0
100
Slide 5
Bandwidth Practice
• Find the Nyquist frequency for:
const[rect(/200)*rect(/200)] =
-200
s 400
Leo Lam © 2010-2013
200
Slide 6
Bandwidth Practice
• Find the Nyquist frequency for:
(bandwidth = 100) + (bandwidth = 50)
s 300
Leo Lam © 2010-2013
Slide 7
Communications
• Practical problem
– One wire vs. hundreds of channels
– One room vs. hundreds of people
• Dividing the wire – how?
– Time
– Frequency
– Orthogonal signals (like CDMA)
Leo Lam © 2010-2013
Slide 8
FDM (Frequency Division Multiplexing)
• Focus on Amplitude Modulation (AM)
• From Fourier Transform:
X
x(t)
y(t)
X()
m(t)=ej0t
Time
Leo Lam © 2010-2013
Y()=X(-0)
0
FOURIER
Slide 9
FDM (Frequency Division Multiplexing)
• Amplitude Modulation (AM)
F()
-5
5
F ( ) * ( 5) ( - 5)
Multiply by cosine!
• Frequency change – NOT LTI!
Leo Lam © 2010-2013
Slide 10
Double Side Band Amplitude Modulation
• FDM – DSB modulation in time domain
x(t)
x(t)+B
y ( t ) [ x ( t ) B ] cos( c t )
Leo Lam © 2010-2013
Slide 11
Double Side Band Amplitude Modulation
• FDM – DSB modulation in freq. domain
y ( t ) [ x ( t ) B ] cos( c t )
• For simplicity, let B=0
Y ( )
Y ( )
Y ( )
X(w)
1
2
1
2
1
2
X ( ) 2 B ( ) ( c ) ( - c )
X ( ) ( c ) ( - c )
X ( c )
0
Leo Lam © 2010-2013
1
2
X ( - c )
Y(w)
1
!
–!C
0
1/2
!C
!
Slide 12
DSB – How it’s done.
• Modulation (Low-Pass First! Why?)
X1()
x1(t)
1
!
0
cos(w1t)
X2()
y(t)
x2(t)
1
!
0
0
cos(w2t)
X3()
x3(t)
1
0
!
cos(w3t)
Leo Lam © 2010-2013
Y()
!1
1/2
!2
!3
!
Slide 13
DSB – Demodulation
• Band-pass, Mix, Low-Pass
m(t)=cos(0t)
y(t)=x(t)cos(0t)
x
Y()
z(t) = y(t)m(t) = x(t)[cos(0t)]2
= 0.5x(t)[1+cos(20t)]
Z()
-20
-0
0
What assumptions?
-- Matched phase of mod & demod
cosines
-- No noise
-- No delay
-- Ideal LPF
Leo Lam © 2010-2013
20
LPF
X()
Slide 14
DSB – Demodulation (signal flow)
• Band-pass, Mix, Low-Pass
BPF1
LPF
x1(t)
0
!1
1/2 y(t)
!2
!3
BPF2
LPF
x2(t)
!
LPF
cos(3t)
Leo Lam © 2010-2013
!
X2()
1
!
0
cos(2t)
BPF3
1
0
cos(1t)
Y()
X1()
x3(t)
X3()
0
1
!
Slide 15
DSB in Real Life (Frequency Division)
•
•
•
•
•
•
•
•
•
•
KARI 550 kHz Day DA2 BLAINE WA US 5.0 kW
KPQ 560 kHz Day DAN WENATCHEE WA US 5.0 kW
KVI 570 kHz Unl ND1 SEATTLE WA US 5.0 kW
KQNT 590 kHz Unl ND1 SPOKANE WA US 5.0 kW
KONA 610 kHz Day DA2 KENNEWICK-RICHLAND-P WA
US 5.0 kW
KCIS 630 kHz Day DAN EDMONDS WA US 5.0 kW
KAPS 660 kHz Day DA2 MOUNT VERNON WA US 10.0
kW
KOMW 680 kHz Day NDD OMAK WA US 5.0 kW
KXLX 700 kHz Day DAN AIRWAY HEIGHTS WA US 10.0
kW
KIRO 710 kHz Day DAN SEATTLE WA US 50.0 kW
Leo Lam © 2010-2013
Signals and Systems
EE235
Leo Lam © 2010-2013
Slide 2
Today’s menu
• Sampling/Anti-Aliasing
• Communications (intro)
Leo Lam © 2010-2013
Slide 3
How to avoid aliasing?
• We ANTI-alias.
time signal
x(t)
Anti-aliasing
filter
X(w)
Sample
Z(w)
B
Leo Lam © 2010-2013
ws > 2wc
wc < B
Reconstruct
z(n)
Slide 4
Bandwidth Practice
• Find the Nyquist frequency for:
-100
s 200
Leo Lam © 2010-2013
0
100
Slide 5
Bandwidth Practice
• Find the Nyquist frequency for:
const[rect(/200)*rect(/200)] =
-200
s 400
Leo Lam © 2010-2013
200
Slide 6
Bandwidth Practice
• Find the Nyquist frequency for:
(bandwidth = 100) + (bandwidth = 50)
s 300
Leo Lam © 2010-2013
Slide 7
Communications
• Practical problem
– One wire vs. hundreds of channels
– One room vs. hundreds of people
• Dividing the wire – how?
– Time
– Frequency
– Orthogonal signals (like CDMA)
Leo Lam © 2010-2013
Slide 8
FDM (Frequency Division Multiplexing)
• Focus on Amplitude Modulation (AM)
• From Fourier Transform:
X
x(t)
y(t)
X()
m(t)=ej0t
Time
Leo Lam © 2010-2013
Y()=X(-0)
0
FOURIER
Slide 9
FDM (Frequency Division Multiplexing)
• Amplitude Modulation (AM)
F()
-5
5
F ( ) * ( 5) ( - 5)
Multiply by cosine!
• Frequency change – NOT LTI!
Leo Lam © 2010-2013
Slide 10
Double Side Band Amplitude Modulation
• FDM – DSB modulation in time domain
x(t)
x(t)+B
y ( t ) [ x ( t ) B ] cos( c t )
Leo Lam © 2010-2013
Slide 11
Double Side Band Amplitude Modulation
• FDM – DSB modulation in freq. domain
y ( t ) [ x ( t ) B ] cos( c t )
• For simplicity, let B=0
Y ( )
Y ( )
Y ( )
X(w)
1
2
1
2
1
2
X ( ) 2 B ( ) ( c ) ( - c )
X ( ) ( c ) ( - c )
X ( c )
0
Leo Lam © 2010-2013
1
2
X ( - c )
Y(w)
1
!
–!C
0
1/2
!C
!
Slide 12
DSB – How it’s done.
• Modulation (Low-Pass First! Why?)
X1()
x1(t)
1
!
0
cos(w1t)
X2()
y(t)
x2(t)
1
!
0
0
cos(w2t)
X3()
x3(t)
1
0
!
cos(w3t)
Leo Lam © 2010-2013
Y()
!1
1/2
!2
!3
!
Slide 13
DSB – Demodulation
• Band-pass, Mix, Low-Pass
m(t)=cos(0t)
y(t)=x(t)cos(0t)
x
Y()
z(t) = y(t)m(t) = x(t)[cos(0t)]2
= 0.5x(t)[1+cos(20t)]
Z()
-20
-0
0
What assumptions?
-- Matched phase of mod & demod
cosines
-- No noise
-- No delay
-- Ideal LPF
Leo Lam © 2010-2013
20
LPF
X()
Slide 14
DSB – Demodulation (signal flow)
• Band-pass, Mix, Low-Pass
BPF1
LPF
x1(t)
0
!1
1/2 y(t)
!2
!3
BPF2
LPF
x2(t)
!
LPF
cos(3t)
Leo Lam © 2010-2013
!
X2()
1
!
0
cos(2t)
BPF3
1
0
cos(1t)
Y()
X1()
x3(t)
X3()
0
1
!
Slide 15
DSB in Real Life (Frequency Division)
•
•
•
•
•
•
•
•
•
•
KARI 550 kHz Day DA2 BLAINE WA US 5.0 kW
KPQ 560 kHz Day DAN WENATCHEE WA US 5.0 kW
KVI 570 kHz Unl ND1 SEATTLE WA US 5.0 kW
KQNT 590 kHz Unl ND1 SPOKANE WA US 5.0 kW
KONA 610 kHz Day DA2 KENNEWICK-RICHLAND-P WA
US 5.0 kW
KCIS 630 kHz Day DAN EDMONDS WA US 5.0 kW
KAPS 660 kHz Day DA2 MOUNT VERNON WA US 10.0
kW
KOMW 680 kHz Day NDD OMAK WA US 5.0 kW
KXLX 700 kHz Day DAN AIRWAY HEIGHTS WA US 10.0
kW
KIRO 710 kHz Day DAN SEATTLE WA US 50.0 kW
Leo Lam © 2010-2013