Digital Communications Techniques in CTE Department - 3rd Stage

رهاط 
ةزمحلا 
.م : 
ةداملا
 
سردم
2
01
8-
20
1
9
Dr. 
Hussam 
Dheaa
 
Kamel
Al-Mustafa University 
Collage 
CTE Department
2018-2019
Digital
 
Communications
CTE Department 
-3
rd
 
stage
Reference: 
Digital
Communications
Fundamentals
 
and
Applications,
2
nd 
Addition, 
by
 
FernardSklar
Digital
 
Communications
CTE Department -3
rd
 
stage
2-7 
Differential Pulse Code Modulation
 
(DPCM):
Any 
signal 
does not change fast, so that the 
value 
from 
present 
sample to next sample does not differ 
by large 
amount. The
adjacent 
samples 
of 
the signal carry 
the 
same information 
with 
little difference 
as 
shown 
if 
figure
 
2-11.
Figure 
2-6 Redundant information 
of
 
PCM
It 
can 
be 
seen from figure 
2-11 
the samples 
4𝑇
𝑠
, 5𝑇
𝑠
, 
𝑎𝑛𝑑 
6𝑇
𝑠
 
are 
encoded to 
the 
same value 
of 
(110). 
If 
this redundancy 
is
reduced, the overall bit rate 
will 
decrease and the number of bits required for one sample will also 
be 
reduced. 
This 
is 
called
Differential Pulse Code Modulation
 
(DPCM).
DPCM 
works on the principle 
of 
prediction. The value of the present sample 
is 
predicted from 
the 
past samples 
as 
shown in
figure
 
2-7.
2
Digital
 
Communications
CTE Department -3
rd
 
stage
Figure 
2-7 
DPCM
 
transmitter
The comparator fined 
the 
difference between the actual sample value 
𝑥
(
𝑛𝑇
𝑠
) 
and 
predicted signal 
𝑥̂(𝑛𝑇
𝑠
) 
this is called
 
error
𝑒(𝑛𝑇
𝑠
)
:
𝑒
(
𝑛𝑇
𝑠
) 
= 
𝑥
(
𝑛𝑇
𝑠
) 
 
𝑥̂(𝑛𝑇
𝑠
)
This 
error 
will 
be 
quantized and encoded 
by 
small number 
of 
bits. 
Thus 
number 
of 
bits 
per 
sample 
are 
reduced in DPCM.
The quantization error 
can be 
written
 
as:
𝑒
𝑞
(
𝑛𝑇
𝑠
) 
= 
𝑒
(
𝑛𝑇
𝑠
) 
+
 
𝑞(𝑛𝑇
𝑠
)
The prediction filter input
 
is:
𝑥
𝑞
(
𝑛𝑇
𝑠
) 
= 
𝑥̂
(
𝑛𝑇
𝑠
)  
+
 
𝑒
𝑞
(𝑛𝑇
𝑠
)
3
Digital
 
Communications
CTE Department -3
rd
 
stage
Substituting 
by 
𝑒
𝑞
(
𝑛𝑇
𝑠
)
 
yields
𝑥
𝑞
(
𝑛𝑇
𝑠
)
=
𝑥̂
(
𝑛𝑇
𝑠
) 
+ 
𝑒
(
𝑛𝑇
𝑠
) 
+
 
𝑞(𝑛𝑇
𝑠
)
We
 
have
𝑥
(
𝑛𝑇
𝑠
) 
= 
𝑒
(
𝑛𝑇
𝑠
) 
+
 
𝑥̂(𝑛𝑇
𝑠
)
From the 
last
 
equations;
𝑥
𝑞
(
𝑛𝑇
𝑠
)
=
𝑥
(
𝑛𝑇
𝑠
) 
+
 
𝑞(𝑛𝑇
𝑠
)
To reconstruct the original signal 
at 
the receiver, the 
decoder 
first reconstructs the quantized error signal 
as 
shown 
in 
figure
2-8.
Figure 
2-8 Reconstruction 
of
 
DPCM
The quantized error signals are 
summed 
up 
with prediction filter output 
to 
give the quantized version of 
the 
original signal.
The signal 
at 
the receiver differs from 
actual 
signal 
by 
quantization error
 
𝑞(𝑛𝑇
𝑠
)
.
4
Digital
 
Communications
CTE Department -3
rd
 
stage
2.8 
Delta 
Modulation
 
(DM):
DM transmit only 
one 
bit 
per 
sample. That is the present sample value 
is 
compared with the previous sample 
of
approximated signal which confined 
to 
two levels 
(−𝛿 
𝑎𝑛𝑑 
+ 
𝛿)
. 
If the 
difference 
is 
negative ‘0’ 
bit 
is transmitted and ‘1’
bit is transmitted for positive difference, 
as 
shown in
 
2-9.
Figure 2.9 
Delta 
modulation
 
waveform
5
Digital
 
Communications
 
CTE 
Department -3
rd
 
stage
-
 
DM
 
transmitter:
The block diagram 
of 
DM transmitter 
is 
shown in figure 
2-10
Figure 
2.10 DM
 
transmitter
The error between 
sampled 
value 
of 
𝑥(𝑡) 
and last 
approximated sample 
is 
given
 
by:
𝑒
(
𝑘𝑇
𝑠
) 
= 
𝑥
(
𝑘𝑇
𝑠
) 
 
𝑥̂
(
𝑘𝑇
𝑠
)
From the 
waveform 
figure 
𝑢
(
𝑘𝑇
𝑠
) 
is the 
present sample approximation 
of 
staircase output and 
𝑢
[(
𝑘 
1
)
𝑇
𝑠
]
 
=
𝑥̂
(
𝑘𝑇
𝑠
) 
is 
the last sample approximation 
of 
staircase output. Let the quantity 
of 
𝑏
(
𝑘𝑇
𝑠
) 
be 
define as,
𝑏
(
𝑘𝑇
𝑠
) 
=
 
𝛿𝑠𝑖𝑔𝑛[𝑒
(
𝑘𝑇
𝑠
)
]
So 
that
𝑏
(
𝑘𝑇
𝑠
) 
=
 
+𝛿
𝑏
(
𝑘𝑇
𝑠
) 
=
 
+𝛿
𝑖𝑓 𝑥
(
𝑘𝑇
𝑠
)
 
 
𝑥̂
(
𝑘𝑇
𝑠
)
,
 
𝑏𝑖𝑛𝑎𝑟𝑦  
1
𝑖𝑠
 
𝑡𝑟𝑎𝑛𝑠𝑚𝑖𝑡𝑡𝑒𝑑
𝑖𝑓 𝑥
(
𝑘𝑇
𝑠
)
 
<
 
𝑥̂
(
𝑘𝑇
𝑠
)
,
 
𝑏𝑖𝑛𝑎𝑟𝑦  
0
𝑖𝑠
 
𝑡𝑟𝑎𝑛𝑠𝑚𝑖𝑡𝑡𝑒𝑑
6
Digital
 
Communications
 
CTE 
Department -3
rd
 
stage
Where 
𝑇
𝑠
 
is 
sampling
 
interval.
The summer 
of figure 
2-7adds quantizer output 
(∓𝛿) 
with previous sample approximation. This gives present 
sample
approximation:
𝑢
(
𝑘𝑇
𝑠
) 
= 
𝑢
(
𝑘𝑇
𝑠  
𝑇
𝑠
)
 
+
 
[
∓𝛿
]
 
𝑜𝑟
= 
𝑢
[(
𝑘 
1
)
𝑇
𝑠
] 
+
 
𝑏
(
𝑘𝑇
𝑠
)
The previous sample approximation 
𝑢
[(
𝑘 
1
)
𝑇
𝑠
] 
is 
restored 
by 
delayed one sample period 
𝑇
𝑠
. 
The sampled input
signal 
𝑥
(
𝑘𝑇
𝑠
) 
and 
staircase approximated signal 
𝑥̂
(
𝑘𝑇
𝑠
) 
are 
subtracted 
to 
get 
error signal 
𝑒
(
𝑘𝑇
𝑠
)
. Then 
the 
one
 
bit
quantizer
 
produces
 
+𝛿
 
or
 
 
𝛿
 
step
 
size
 
depending
 
on
 
the
 
sign
 
of
 
𝑒
(
𝑘𝑇
𝑠
)
,
 
‘1’
 
bit
 
is
 
transmitted
 
for
 
positive
 
values
 
and
‘0’ 
bit for 
negative
 
values.
7
Digital
 
Communications
 
CTE 
Department -3
rd
 
stage
-
 
DM
 
receiver:
At the receiver shown in figure 
2-11, 
the accumulator generates the staircase approximated signal and is delayed 
by
one
 
sample
 
period
 
𝑇
𝑠
.
 
It
 
adds
 
+𝛿
 
step
 
to
 
the
 
previous
 
sample
 
if
 
the
 
input
 
bit
 
is
 
‘1’
 
and
 
subtract
 
−𝛿
 
for
 
‘0’
 
input
 
bit.
The low pass filter 
with 
cutoff frequency 
of highest 
frequency 
in
 
𝑥(𝑡)
.
Figure 
2.11 DM
 
receiver
-
 
Advantageous 
of
 
DM:
i
-
DM transmit only 
one 
bit for one sample. Thus the signaling rate and transmission channel bandwidth is quite
small 
for
 
DM.
ii-
 
The DM transceiver system 
is very 
much
 
simple.
8
Digital
 
Communications
CTE Department -3
rd
 
stage
-
 
Disadvantageous 
of
 
DM:
i
-
Figure 
12 distortion of
 
DM
Slop overload distortion: This distortion arises because 
of 
large dynamic 
range of 
input 
signal. In 
this case the
 
step
size 
𝛿 
is 
too small for staircase signal 
𝑢(𝑡) 
to follow the steep segment 
of 
𝑥(𝑡)
. 
Thus there is 
large 
error between
those signals. This error called slop overload distortion. To reduce this error the step size should 
be 
increased  when
slop 
of 
signal 
𝑥(𝑡) 
is high. But since 
the 
step size 
is 
fixed 
it is 
called 
Linear Delta Modulation
 
(LDM).
ii- Granular 
Noise (Hunting): 
It is 
occur when 
the 
step size is too large compared to small variation in the input
 
signal
𝑥(𝑡) 
which can 
be 
considered flat, while the staircase signal 
is 
oscillated 
by 
±𝛿 
around it. The error in this case is
called 
granular noise, 
so 
that step size should 
be 
small to reduce this error.
9
Digital
 
Communications
CTE Department -3
rd
 
stage
3.9 
Adaptive DM:
The large step size is required 
to 
reduce slope overload while small steps 
are 
required 
to 
reduce granular noise.
Adaptive DM shown 
in 
figure 
2-9 
is 
a 
modification 
of 
LDM to overcome 
these
 
errors.
Figure 
2.13 Transmitter 
of 
adaptive DM
The step size increases 
with 
steep segment 
of 
input signal and reduces with small variation. This 
called
Adaptive Delta Modulation (ADM).
At 
the 
receiver the logic for step size control 
is 
added is added 
as 
shown in figure
 
2-9.
10
Digital
 
Communications
CTE Department -3
rd
 
stage
Figure 
2.14 ADM
 
receiver
If one 
bit quantizer output is high ‘1’ 
the 
step size may 
be 
doubled for next sample 
and 
vice versa 
as 
shown 
in 
figure
2-10.
Figure 
2.15 Waveform 
of
 
ADM
The previous input and the present input decided the step
 
size.
11
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Explore Differential Pulse Code Modulation (DPCM) and Delta Modulation (DM) concepts in digital communications, as outlined in the 2018-2019 curriculum of the CTE Department. Learn about encoding, quantization, error prediction, reconstruction at the receiver end, and the one-bit per sample transmission method employed in DM. Gain insights into how these techniques reduce redundancy, decrease bit rates, and optimize signal transmission efficiency.

  • Digital Communications
  • CTE Department
  • DPCM
  • Delta Modulation
  • Signal Processing

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  1. . : 2018-2019 Digital Communications CTE Department -3rdstage Reference: Digital Communications Fundamentalsand Applications, 2nd Addition, byFernardSklar Dr. Hussam Dheaa Kamel Al-Mustafa University Collage CTE Department 2018-2019

  2. CTE Department -3rdstage Digital Communications 2-7 Differential Pulse Code Modulation (DPCM): Any signal does not change fast, so that the value from present sample to next sample does not differ by large amount. The adjacent samples of the signal carry the same information with little difference as shown if figure 2-11. Figure 2-6 Redundant information of PCM It can be seen from figure 2-11 the samples 4??, 5??, ??? 6??are encoded to the same value of (110). If this redundancy is reduced, the overall bit rate will decrease and the number of bits required for one sample will also be reduced. This is called Differential Pulse Code Modulation (DPCM). DPCM works on the principle of prediction. The value of the present sample is predicted from the past samples as shown in figure 2-7. 2

  3. CTE Department -3rdstage Digital Communications Figure 2-7 DPCM transmitter The comparator fined the difference between the actual sample value ?(???) and predicted signal ? (???) this is called error ?(???): ?(???) = ?(???) ? (???) This error will be quantized and encoded by small number of bits. Thus number of bits per sample are reduced in DPCM. The quantization error can be written as: ??(???) = ?(???) + ?(???) The prediction filter input is: ??(???) = ? (???) + ??(???) 3

  4. CTE Department -3rdstage Digital Communications Substituting by ??(???) yields ??(???)=? (???) + ?(???) + ?(???) We have ?(???) = ?(???) + ? (???) From the last equations; ??(???)=?(???) + ?(???) To reconstruct the original signal at the receiver, the decoder first reconstructs the quantized error signal as shown in figure 2-8. Figure 2-8 Reconstruction of DPCM The quantized error signals are summed up with prediction filter output to give the quantized version of the original signal. The signal at the receiver differs from actual signal by quantization error ?(???). 4

  5. CTE Department -3rdstage Digital Communications 2.8 Delta Modulation (DM): DM transmit only one bit per sample. That is the present sample value is compared with the previous sample of approximated signal which confined to two levels ( ? ??? + ?). If the difference is negative 0 bit is transmitted and 1 bit is transmitted for positive difference, as shown in 2-9. Figure 2.9 Delta modulation waveform 5

  6. CTE Department -3rdstage Digital Communications - DM transmitter: The block diagram of DM transmitter is shown in figure 2-10 Figure 2.10 DM transmitter The error between sampled value of ?(?) and last approximated sample is given by: ?(???) = ?(???) ? (???) From the waveform figure ?(???) is the present sample approximation of staircase output and ?[(? 1)??] = ? (???) is the last sample approximation of staircase output. Let the quantity of ?(???) be define as, ?(???) = ?????[?(???)] So that ?????? 1 ?? ??????????? ?(???) = +? ?? ?(???) ? (???), ?????? 0 ?? ??????????? ?(???) = +? ?? ?(???) < ? (???), 6

  7. CTE Department -3rdstage Digital Communications Where ??is sampling interval. The summer of figure 2-7adds quantizer output ( ?) with previous sample approximation. This gives present sample approximation: ?(???) = ?(??? ??) + [ ?] ?? = ?[(? 1)??] + ?(???) The previous sample approximation ?[(? 1)??] is restored by delayed one sample period ??. The sampled input signal ?(???) and staircase approximated signal ? (???) are subtracted to get error signal ?(???). Then the one bit quantizer produces +? or ? step size depending on the sign of ?(???), 1 bit is transmitted for positive values and 0 bit for negative values. 7

  8. CTE Department -3rdstage Digital Communications - DM receiver: At the receiver shown in figure 2-11, the accumulator generates the staircase approximated signal and is delayed by one sample period ??. It adds +? step to the previous sample if the input bit is 1 and subtract ? for 0 input bit. The low pass filter with cutoff frequency of highest frequency in ?(?). Figure 2.11 DM receiver - Advantageous ofDM: DM transmit only one bit for one sample. Thus the signaling rate and transmission channel bandwidth is quite i- small for DM. ii- The DM transceiver system is very much simple. 8

  9. CTE Department -3rdstage Digital Communications - Disadvantageous ofDM: Figure 12 distortion of DM Slop overload distortion: This distortion arises because of large dynamic range of input signal. In this case the step size ? is too small for staircase signal ?(?) to follow the steep segment of ?(?). Thus there is large error between i- those signals. This error called slop overload distortion. To reduce this error the step size should be increased when slop of signal ?(?) is high. But since the step size is fixed it is called Linear Delta Modulation (LDM). ii- Granular Noise (Hunting): It is occur when the step size is too large compared to small variation in the input signal ?(?) which can be considered flat, while the staircase signal is oscillated by ? around it. The error in this case is called granular noise, so that step size should be small to reduce this error. 9

  10. CTE Department -3rdstage Digital Communications 3.9 Adaptive DM: The large step size is required to reduce slope overload while small steps are required to reduce granular noise. Adaptive DM shown in figure 2-9 is a modification of LDM to overcome these errors. Figure 2.13 Transmitter of adaptive DM The step size increases with steep segment of input signal and reduces with small variation. This called Adaptive Delta Modulation (ADM). At the receiver the logic for step size control is added is added as shown in figure 2-9. 10

  11. CTE Department -3rdstage Digital Communications Figure 2.14 ADM receiver If one bit quantizer output is high 1 the step size may be doubled for next sample and vice versa as shown in figure 2-10. Figure 2.15 Waveform ofADM The previous input and the present input decided the step size. 11

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