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Unit 3

The document discusses various concepts related to signal processing, including sampling, modulation, and reconstruction of signals. It covers the mathematical representations of signals and their spectra, emphasizing the importance of avoiding aliasing through appropriate sampling rates. Additionally, it illustrates the use of pulse amplitude modulation (PAM) and other modulation techniques in signal transmission.
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0% found this document useful (0 votes)
15 views30 pages

Unit 3

The document discusses various concepts related to signal processing, including sampling, modulation, and reconstruction of signals. It covers the mathematical representations of signals and their spectra, emphasizing the importance of avoiding aliasing through appropriate sampling rates. Additionally, it illustrates the use of pulse amplitude modulation (PAM) and other modulation techniques in signal transmission.
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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1

2W

fs 

fs

x(t)
x(t)
x(t) x( nTs )

x  (t)

x  (t) X (f)

X( f ) X (f)

x(t) x( nTs )

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x  (t )
x  (t)
 
x  (t)  x(t)  (t  nTs )  x (nTs )  (t  nTs )
n   n  

x( nTs ) x(t) t  nTs n  0,  1,  2,  3


x  (t) x(t) t)
 (t  nTs )  Ts  2Ts
 3Ts
x  (t ) X (f)

  
X (f)   x(t)  (t  nTs ) 
n    

x(t)

X (f) {x(t)}  FT { (t  nTs )}


FT
x(t) 
 X( f )
 X(f)
FT
 (t  nTs ) 
 fs   ( f  nfs )
n   Spectrum of
original signal

 f
X (f) X( f )  fs   ( f  nfs ) –W W
n   X(f)


X (f) fs  X ( f )   ( f  nfs )
n  


fs  X ( f  nfs )
n  

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fs X( f  2 fs )  fs X( f  fs )  fs X( f )  fs X( f  fs )  fs X( f  2 fs ) 

X(f) is placed at Spectrum of


fs, 2fs,... X(f) sampled signal
W W

f = nfs
–2fs –fs–W –fs –W W fs fs+W 2fs
–3 W 3W

 fs ,  2 fs ,  3 fs ,

X( f )
X(f) X (f)
fs
X (f) fs X( f ) W  
1
X( f ) X (f)
fs 

x( t ) x( nT s )

X( )  x(n) e  jn
n  


 X( f )  x(n) e  j 2fn
n  

X( f ) X (f)

f
  j 2 n
X (f)  x(n) e fs
n  

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f
fs
x( n) x( nTs ) x(t)

1
X (f)  x(nTs ) e  j 2fnTs fs
Ts
n  


1
X( f )
fs  x(n Ts ) e  j 2 fnTs
n  

x(t)
 1  
x(t) IFT 
f  x(n Ts ) e  j 2  f nTs 
 s n   

x(t) x( n Ts )
fs
x(t)

x( t )

X( f ) X (f)

x(t)

  1  
x(t)  f  x(n Ts ) e  j 2  f nTs  e j 2  f t df
  s n   

1
W  f  W X( f ) X (f)
fs 
W  f  W
W 
1
 x(t)  fs  x(n Ts ) e  j 2  f nTs  e j 2  f t df
W n  

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 W
1
x(t)  x(n Ts ) fs  e j 2 f ( t  nTs ) df
n   W

 W
1  e j 2f ( t  nTs ) 
 x(n Ts )  fs   j 2 (t  n Ts ) 
n     W


1  e j 2  W ( t  nTs )  e  j 2  W ( t  nTs ) 
 x(n Ts )  fs  j 2  (t  n Ts ) 
n    

 1 sin 2 W (t  n Ts )
 x(n Ts )  fs   (t  n Ts )
n  

 sin  ( 2 W t  2 W n Ts )
 x(n Ts )  ( fs t  fs n Ts )
n  

1 1
fs 2W
 sin  ( 2 W t  n)
x(t)  x( n Ts )
 ( 2 W t  n)
n  

 sin 
 x(n Ts ) sinc (2 W t  n) 

n  

x(t)  x(  2Ts) sinc( 2 W t + 2)+ x( Ts) sinc( 2 W t  1)  x( 0) sinc( 2 W t)  x(Ts) sinc( 2 W t 1) 

x( n Ts )
x(t)

x(t)

W  f  W
x(t)

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Reconstructed
signal x(t)
Sinc function at Sample of x(t) at
t = 2Ts t = 2Ts

– 4Ts – 3Ts – 2Ts – Ts 0 Ts 2Ts 3Ts 4Ts

x (t )

fs
fs  2 W X (f)

X(f) Spectrum of
original signal
This is high frequency
'W' of spectrum of
X(f–fs). But it overlaps
on X(f) and appears as
low frequency of
–W 0 W f fs–W
Overlapping X(f) These frequencies
spectrums are aliased
Spectrum of
X(f–fs)

–2fs –fs 0 W fs 2fs 0 W fs


f fs–W

–W fs–W High frequency appearing as


low frequency is called aliasing

X( f ), X( f  fs ), X( f  2 fs ),
X( f ) X( f  fs )
( fs  W )
 X( f  fs ) ( fs  W )
X( f )
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fs 

X(f) This gap avoids


aliasing

–fs –W 0 W fs f
fs–W

fs 

fs

Band limiting x(t)


x'(t) Sampler X(t)
low pass filter

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1
2W

x( n Ts )

X(f)
W  f  W

X(f)
This is X(f)

–fs –W 0 W fs f
H(f)

1 This response will


filter X(f) from X(f)

–W 0 W f

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x(t)

fm x(t)

x(t)
c(t) x(t) c(t)
y(t)
x(t)

Modulating y(t) Pulse PAM


Lowpass Multiplier signal
signal x(t) shaping
filter s(t)
network

c(t)

Pulse-train
generator

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x(t) (a)

c(t) (b)

y(t) t

(c)

s(t) t

(d)

^
x(t)

PAM Reconstruction Reconstructed


signal lowpass PAM signal t
filter

(a) Detector (b) Waveforms

' ' Ts
x (t)
fs
fs 

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1 1
Ts  fs
2W Ts
1
t Ts 
2W

 
1 1
f 
   2

1
f max
2


f max

B T  f max
1
 BT 
2
1 1
  B   W
2W T 2

BT  W

BT
x (t)

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x(t)
(a) Modulating
signal

ts t

s(t) (b) Trailing


edge

ts tt t
s(t)
(c) Leading
edge

' ts ' tl ts t
s(t)

ts tt (d) Both(d)
edge

tl ts tt t

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ts

ts
t l and tt

+VCC

8 4
R
2 Trigger

7 IC
555 5 Modulating signal
6
C
3 Output
1

Trigger input
t

Modulating signal

Pulse width modulated output

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+VCC

RL R RL PWM
C output
Trigger in
RD C1 C2
B1
T1 T2
B2
RD

RE
RD CB
Input
signal

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PWM
signal
1
Schmitt
trigger

2 Ramp 3 5 Level 6
Adder Rectifier
generator shifter

Low 8 Demodulated
Synchronization 4 pass output
pulse generator filter

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Input
1 PAM
signal
0 t

2 Output of
schmitt trigger

t
0

Output of
3 Ramp generator
t
0

Synchronization
4
pulses
t
0

Output of
5 adder
t
0
Output of
6 level shifter
t
0

7 Output of
rectifier
t
0

Recovery
8 modulating
signal
t
0

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S()

fm

fm
Frequency
fm fs 2fs

fm fs

fs
Ts

x (t)
x (t)

kTs
x (t)
x (t)

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Comparator
X(t) 
PDM/PWM

(a)
Sawtooth PPM
Monostable
generator

x(t)

Time

A
PDM  (b)
Time
kTs

A
PPM
Time
kTs tk

x (t)

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kTs x (t) kTs

+VCC

8 4
R2

D1 R1
7 IC
555 3 PPM
6 output
C1
PWM 2 1 5
pulses C2
C3

PWM
pulses
t

Trigger
pulses
t

PPM
pulses
t

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PPM
pulses R Flip PWM PWM Recovered
flop Q pulses demodulator modulating
S
signal

Synchronization Reference
signal from pulse
transmitter generator

Position of unmodulated pulses

Triggering
pulses t

Output of flip-flop
(PWM pulses) t

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Ts
tr Ts

1
BT 
2tr

1
BT 
2tr

Waveform
Waveform Waveform

A0
0

Time Time Time

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BT
fs  8 kHz   01
. Ts

1 1
Ts Ts  sec
fs 8  10 3
01
.
  . Ts 
01 sec
8  10 3
BT
1 1
BT  
2 01
.
2
8  10 3

01
.
 sec
8  10 3

01
.
tr   0.01   0.01 1.25  10 7 sec
8  10 3

1 1
BT   
2tr 2  1 . 25  10 7

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x(t)  sinc ( 200 t) x(t)  sinc2 ( 200 t) x(t)  sinc ( 200 t)  sinc2 ( 200 t)
1 1 1
200 400 400

{ fm  f  fm}

|f| W x (nTs) xq(nTs)

Pre alias Sampling Quantization Encoding PCM


x(t)
LPF circuit circuit circuit signal

1
fs  2W Ts 
fs

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PCM Regenerator Digital to Low pass
signal Analog converter x (t)
circuit filter

q 2v

fs

 fs

r v fs

fs  2W

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B  1 r (5.2.4)
 T 2
 1

B T  2 v fs Since fs  2 W (5.2.5)

B T  v W (5.2.6)


1
33
3

mp

 1 1  4 4
fs    2W  2  3000
 3 3 3

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