SlideShare a Scribd company logo
4.1
Chapter 4
Digital Transmission
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
4.2
4-1 DIGITAL-TO-DIGITAL CONVERSION4-1 DIGITAL-TO-DIGITAL CONVERSION
In this section, we see how we can represent digitalIn this section, we see how we can represent digital
data by using digital signals. The conversion involvesdata by using digital signals. The conversion involves
three techniques:three techniques: line codingline coding,, block codingblock coding, and, and
scramblingscrambling. Line coding is always needed; block. Line coding is always needed; block
coding and scrambling may or may not be needed.coding and scrambling may or may not be needed.
 Line Coding
 Line Coding Schemes
 Block Coding
 Scrambling
Topics discussed in this section:Topics discussed in this section:
4.3
Line Coding
 Converting a string of 1’s and 0’s (digital
data) into a sequence of signals that
denote the 1’s and 0’s.
 For example a high voltage level (+V)
could represent a “1” and a low voltage
level (0 or -V) could represent a “0”.
4.4
Figure 4.1 Line coding and decoding
4.5
Mapping Data symbols onto
Signal levels
 A data symbol (or element) can consist of a
number of data bits:
 1 , 0 or
 11, 10, 01, ……
 A data symbol can be coded into a single
signal element or multiple signal elements
 1 -> +V, 0 -> -V
 1 -> +V and -V, 0 -> -V and +V
 The ratio ‘r’ is the number of data elements
carried by a signal element.
4.6
Relationship between data
rate and signal rate
 The data rate defines the number of bits sent
per sec - bps. It is often referred to the bit
rate.
 The signal rate is the number of signal
elements sent in a second and is measured in
bauds. It is also referred to as the modulation
rate.
 Goal is to increase the data rate whilst
reducing the baud rate.
4.7
Figure 4.2 Signal element versus data element
4.8
Data rate and Baud rate
 The baud or signal rate can be
expressed as:
S = c x N x 1/r bauds
where N is data rate
c is the case factor (worst, best & avg.)
r is the ratio between data element &
signal element
4.9
A signal is carrying data in which one data element is
encoded as one signal element ( r = 1). If the bit rate is
100 kbps, what is the average value of the baud rate if c is
between 0 and 1?
Solution
We assume that the average value of c is 1/2 . The baud
rate is then
Example 4.1
4.10
Although the actual bandwidth of a
digital signal is infinite, the effective
bandwidth is finite.
Note
4.11
The maximum data rate of a channel (see Chapter 3) is
Nmax = 2 × B × log2 L (defined by the Nyquist formula).
Does this agree with the previous formula for Nmax?
Solution
A signal with L levels actually can carry log2L bits per
level. If each level corresponds to one signal element and
we assume the average case (c = 1/2), then we have
Example 4.2
4.12
Considerations for choosing a good
signal element referred to as line
encoding
 Baseline wandering - a receiver will evaluate
the average power of the received signal
(called the baseline) and use that to determine
the value of the incoming data elements. If the
incoming signal does not vary over a long
period of time, the baseline will drift and thus
cause errors in detection of incoming data
elements.
 A good line encoding scheme will prevent long
runs of fixed amplitude.
4.13
Line encoding C/Cs
 DC components - when the voltage
level remains constant for long periods
of time, there is an increase in the low
frequencies of the signal. Most
channels are bandpass and may not
support the low frequencies.
 This will require the removal of the dc
component of a transmitted signal.
4.14
Line encoding C/Cs
 Self synchronization - the clocks at the
sender and the receiver must have the
same bit interval.
 If the receiver clock is faster or slower it
will misinterpret the incoming bit stream.
4.15
Figure 4.3 Effect of lack of synchronization
4.16
In a digital transmission, the receiver clock is 0.1 percent
faster than the sender clock. How many extra bits per
second does the receiver receive if the data rate is
1 kbps? How many if the data rate is 1 Mbps?
Solution
At 1 kbps, the receiver receives 1001 bps instead of 1000
bps.
Example 4.3
At 1 Mbps, the receiver receives 1,001,000 bps instead of
1,000,000 bps.
4.17
Line encoding C/Cs
 Error detection - errors occur during
transmission due to line impairments.
 Some codes are constructed such that
when an error occurs it can be
detected. For example: a particular
signal transition is not part of the code.
When it occurs, the receiver will know
that a symbol error has occurred.
4.18
Line encoding C/Cs
 Noise and interference - there are line
encoding techniques that make the
transmitted signal “immune” to noise
and interference.
 This means that the signal cannot be
corrupted, it is stronger than error
detection.
4.19
Line encoding C/Cs
 Complexity - the more robust and
resilient the code, the more complex it
is to implement and the price is often
paid in baud rate or required bandwidth.
4.20
Figure 4.4 Line coding schemes
4.21
Unipolar
 All signal levels are on one side of the time
axis - either above or below
 NRZ - Non Return to Zero scheme is an
example of this code. The signal level does
not return to zero during a symbol
transmission.
 Scheme is prone to baseline wandering and
DC components. It has no synchronization or
any error detection. It is simple but costly in
power consumption.
4.22
Figure 4.5 Unipolar NRZ scheme
4.23
Polar - NRZ
 The voltages are on both sides of the time
axis.
 Polar NRZ scheme can be implemented with
two voltages. E.g. +V for 1 and -V for 0.
 There are two versions:
 NZR - Level (NRZ-L) - positive voltage for one
symbol and negative for the other
 NRZ - Inversion (NRZ-I) - the change or lack of
change in polarity determines the value of a
symbol. E.g. a “1” symbol inverts the polarity a “0”
does not.
4.24
Figure 4.6 Polar NRZ-L and NRZ-I schemes
4.25
In NRZ-L the level of the voltage
determines the value of the bit.
In NRZ-I the inversion
or the lack of inversion
determines the value of the bit.
Note
4.26
NRZ-L and NRZ-I both have an average
signal rate of N/2 Bd.
Note
4.27
NRZ-L and NRZ-I both have a DC
component problem and baseline
wandering, it is worse for NRZ-L. Both
have no self synchronization &no error
detection. Both are relatively simple to
implement.
Note
4.28
A system is using NRZ-I to transfer 1-Mbps data. What
are the average signal rate and minimum bandwidth?
Solution
The average signal rate is S= c x N x R = 1/2 x N x 1 =
500 kbaud. The minimum bandwidth for this average
baud rate is Bmin = S = 500 kHz.
Note c = 1/2 for the avg. case as worst case is 1 and best
case is 0
Example 4.4
4.29
Polar - RZ
 The Return to Zero (RZ) scheme uses three
voltage values. +, 0, -.
 Each symbol has a transition in the middle.
Either from high to zero or from low to zero.
 This scheme has more signal transitions (two
per symbol) and therefore requires a wider
bandwidth.
 No DC components or baseline wandering.
 Self synchronization - transition indicates
symbol value.
 More complex as it uses three voltage level. It
has no error detection capability.
4.30
Figure 4.7 Polar RZ scheme
4.31
Polar - Biphase: Manchester and
Differential Manchester
 Manchester coding consists of combining the
NRZ-L and RZ schemes.
 Every symbol has a level transition in the middle:
from high to low or low to high. Uses only two
voltage levels.
 Differential Manchester coding consists of
combining the NRZ-I and RZ schemes.
 Every symbol has a level transition in the middle.
But the level at the beginning of the symbol is
determined by the symbol value. One symbol
causes a level change the other does not.
4.32
Figure 4.8 Polar biphase: Manchester and differential Manchester schemes
4.33
In Manchester and differential
Manchester encoding, the transition
at the middle of the bit is used for
synchronization.
Note
4.34
The minimum bandwidth of Manchester
and differential Manchester is 2 times
that of NRZ. The is no DC component
and no baseline wandering. None of
these codes has error detection.
Note
4.35
Bipolar - AMI and Pseudoternary
 Code uses 3 voltage levels: - +, 0, -, to
represent the symbols (note not transitions to
zero as in RZ).
 Voltage level for one symbol is at “0” and the
other alternates between + & -.
 Bipolar Alternate Mark Inversion (AMI) - the
“0” symbol is represented by zero voltage and
the “1” symbol alternates between +V and -V.
 Pseudoternary is the reverse of AMI.
4.36
Figure 4.9 Bipolar schemes: AMI and pseudoternary
4.37
Bipolar C/Cs
 It is a better alternative to NRZ.
 Has no DC component or baseline
wandering.
 Has no self synchronization because
long runs of “0”s results in no signal
transitions.
 No error detection.
4.38
Multilevel Schemes
 In these schemes we increase the number of
data bits per symbol thereby increasing the
bit rate.
 Since we are dealing with binary data we only
have 2 types of data element a 1 or a 0.
 We can combine the 2 data elements into a
pattern of “m” elements to create “2m
”
symbols.
 If we have L signal levels, we can use “n”
signal elements to create Ln
signal elements.
4.39
Code C/Cs
 Now we have 2m
symbols and Ln
signals.
 If 2m
> Ln
then we cannot represent the data
elements, we don’t have enough signals.
 If 2m
= Ln
then we have an exact mapping of
one symbol on one signal.
 If 2m
< Ln
then we have more signals than
symbols and we can choose the signals that
are more distinct to represent the symbols
and therefore have better noise immunity and
error detection as some signals are not valid.
4.40
In mBnL schemes, a pattern of m data
elements is encoded as a pattern of n
signal elements in which 2m
≤ Ln
.
Note
4.41
Representing Multilevel Codes
 We use the notation mBnL, where m is
the length of the binary pattern, B
represents binary data, n represents the
length of the signal pattern and L the
number of levels.
 L = B binary, L = T for 3 ternary, L = Q
for 4 quaternary.
4.42
Figure 4.10 Multilevel: 2B1Q scheme
4.43
Redundancy
 In the 2B1Q scheme we have no redundancy
and we see that a DC component is present.
 If we use a code with redundancy we can
decide to use only “0” or “+” weighted codes
(more +’s than -’s in the signal element) and
invert any code that would create a DC
component. E.g. ‘+00++-’ -> ‘-00--+’
 Receiver will know when it receives a “-”
weighted code that it should invert it as it
doesn’t represent any valid symbol.
4.44
Figure 4.11 Multilevel: 8B6T scheme
4.45
Multilevel using multiple channels
 In some cases, we split the signal
transmission up and distribute it over several
links.
 The separate segments are transmitted
simultaneously. This reduces the signalling
rate per link -> lower bandwidth.
 This requires all bits for a code to be stored.
 xD: means that we use ‘x’ links
 YYYz: We use ‘z’ levels of modulation where
YYY represents the type of modulation (e.g.
pulse ampl. mod. PAM).
 Codes are represented as: xD-YYYz
4.46
Figure 4.12 Multilevel: 4D-PAM5 scheme
4.47
Multitransition Coding
 Because of synchronization requirements we force
transitions. This can result in very high bandwidth
requirements -> more transitions than are bits (e.g.
mid bit transition with inversion).
 Codes can be created that are differential at the bit
level forcing transitions at bit boundaries. This results
in a bandwidth requirement that is equivalent to the
bit rate.
 In some instances, the bandwidth requirement may
even be lower, due to repetitive patterns resulting in a
periodic signal.
4.48
Figure 4.13 Multitransition: MLT-3 scheme
4.49
MLT-3
 Signal rate is same as NRZ-I
 But because of the resulting bit pattern,
we have a periodic signal for worst case
bit pattern: 1111
 This can be approximated as an analog
signal a frequency 1/4 the bit rate!
4.50
Table 4.1 Summary of line coding schemes
4.51
Block Coding
 For a code to be capable of error detection, we need
to add redundancy, i.e., extra bits to the data bits.
 Synchronization also requires redundancy -
transitions are important in the signal flow and must
occur frequently.
 Block coding is done in three steps: division,
substitution and combination.
 It is distinguished from multilevel coding by use of the
slash - xB/yB.
 The resulting bit stream prevents certain bit
combinations that when used with line encoding
would result in DC components or poor sync. quality.
4.52
Block coding is normally referred to as
mB/nB coding;
it replaces each m-bit group with an
n-bit group.
Note
4.53
Figure 4.14 Block coding concept
4.54
Figure 4.15 Using block coding 4B/5B with NRZ-I line coding scheme
4.55
Table 4.2 4B/5B mapping codes
4.56
Figure 4.16 Substitution in 4B/5B block coding
4.57
Redundancy
 A 4 bit data word can have 24
combinations.
 A 5 bit word can have 25=32
combinations.
 We therefore have 32 - 26 = 16 extra
words.
 Some of the extra words are used for
control/signalling purposes.
4.58
We need to send data at a 1-Mbps rate. What is the
minimum required bandwidth, using a combination of
4B/5B and NRZ-I or Manchester coding?
Solution
First 4B/5B block coding increases the bit rate to 1.25
Mbps. The minimum bandwidth using NRZ-I is N/2 or
625 kHz. The Manchester scheme needs a minimum
bandwidth of 1.25 MHz. The first choice needs a lower
bandwidth, but has a DC component problem; the second
choice needs a higher bandwidth, but does not have a DC
component problem.
Example 4.5
4.59
Figure 4.17 8B/10B block encoding
4.60
More bits - better error detection
 The 8B10B block code adds more
redundant bits and can thereby choose
code words that would prevent a long
run of a voltage level that would cause
DC components.
4.61
Scrambling
 The best code is one that does not increase
the bandwidth for synchronization and has no
DC components.
 Scrambling is a technique used to create a
sequence of bits that has the required c/c’s for
transmission - self clocking, no low
frequencies, no wide bandwidth.
 It is implemented at the same time as
encoding, the bit stream is created on the fly.
 It replaces ‘unfriendly’ runs of bits with a
violation code that is easy to recognize and
removes the unfriendly c/c.
4.62
Figure 4.18 AMI used with scrambling
4.63
For example: B8ZS substitutes eight
consecutive zeros with 000VB0VB.
The V stands for violation, it violates the
line encoding rule
B stands for bipolar, it implements the
bipolar line encoding rule
4.64
Figure 4.19 Two cases of B8ZS scrambling technique
4.65
HDB3 substitutes four consecutive
zeros with 000V or B00V depending
on the number of nonzero pulses after
the last substitution.
If # of non zero pulses is even the
substitution is B00V to make total # of
non zero pulse even.
If # of non zero pulses is odd the
substitution is 000V to make total # of
non zero pulses even.
4.66
Figure 4.20 Different situations in HDB3 scrambling technique

More Related Content

PPT
BANDWIDTH UTILIZATION
PPT
Ch4 1 v1
PPT
DIGITAL TRANSMISSION
PPT
Ch4 Data communication and networking by neha g. kurale
PPT
Ch4 1 Data communication and networking by neha g. kurale
PPT
Ch6 1 Data communication and networking by neha g. kurale
PPT
Ch6 1 v1
PPT
Ch3 1 Data communication and networking
BANDWIDTH UTILIZATION
Ch4 1 v1
DIGITAL TRANSMISSION
Ch4 Data communication and networking by neha g. kurale
Ch4 1 Data communication and networking by neha g. kurale
Ch6 1 Data communication and networking by neha g. kurale
Ch6 1 v1
Ch3 1 Data communication and networking

What's hot (20)

PPT
Ch3 2 Data communication and networking
PPT
Unit 4
PPT
Ch3 3 Data communication and networking
PPT
Ch04
 
PPT
Ch5 Data communication and networking by neha g. kurale
PPT
digital layer
PPT
Chap4 d t-d conversion
PPT
Ch4 2 v1
PPT
Ch3Data communication and networking by neha g. kurale
PPT
Chapter 4
PPT
Data Communication And Networking - DATA RATE LIMITS
PDF
Baseline Wandering
PPT
04 Digital Transmission
PPT
Chapter 3
PPT
03 Data and_Signals
PPT
Chapter 4 - Digital Transmission
PDF
Data Communication & Computer Networks: Multi level, multi transition & block...
PPT
Data Communication And Networking
PPT
LECTURE-4 (Data Communication) ~www.fida.com.bd
Ch3 2 Data communication and networking
Unit 4
Ch3 3 Data communication and networking
Ch04
 
Ch5 Data communication and networking by neha g. kurale
digital layer
Chap4 d t-d conversion
Ch4 2 v1
Ch3Data communication and networking by neha g. kurale
Chapter 4
Data Communication And Networking - DATA RATE LIMITS
Baseline Wandering
04 Digital Transmission
Chapter 3
03 Data and_Signals
Chapter 4 - Digital Transmission
Data Communication & Computer Networks: Multi level, multi transition & block...
Data Communication And Networking
LECTURE-4 (Data Communication) ~www.fida.com.bd
Ad

Similar to Data Communication And Networking - DIGITAL TRANSMISSION (20)

PPT
ch4_1_v1.pptwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww
PPT
Line Coding Scheme and digital transmission concept
PPT
line coding techniques, block coding and all type of coding
PPTX
Data communications 4 1
PDF
Computer network and its applications.pdf
PDF
Computer network and its types application.pdf
PPT
ch4_1_v1edit-1.ppt digital transmission from pl
PPT
ch4_1_v1edit-1.pptjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjkkkkkkkkkkkkkkkkkk
PPTX
Line coding Tec hniques.pptx
PPTX
Data Encoding in Data Communication.pptx
PPT
unit 2 intr to phy layer part 1.pptcvcvcv
PPT
ch04-digital-transmission.ppt
PPTX
lec5_13.pptx
PDF
Chapter-4-Digital-Transmission Data Comm.pptx.pdf
PPTX
Lec-12-DCN.pptx about digital transmission and conversions
PPT
Lecture 08
PDF
Computer Networks encoding techniques for cse stdents
DOCX
PPT
ch4_1_v1.pptwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww
Line Coding Scheme and digital transmission concept
line coding techniques, block coding and all type of coding
Data communications 4 1
Computer network and its applications.pdf
Computer network and its types application.pdf
ch4_1_v1edit-1.ppt digital transmission from pl
ch4_1_v1edit-1.pptjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjkkkkkkkkkkkkkkkkkk
Line coding Tec hniques.pptx
Data Encoding in Data Communication.pptx
unit 2 intr to phy layer part 1.pptcvcvcv
ch04-digital-transmission.ppt
lec5_13.pptx
Chapter-4-Digital-Transmission Data Comm.pptx.pdf
Lec-12-DCN.pptx about digital transmission and conversions
Lecture 08
Computer Networks encoding techniques for cse stdents
Ad

More from Avijeet Negel (20)

PPT
PPT
Upper OSI LAYER
PPT
SONET/SDH
PPT
Frame Relay
PPT
PPT
Integrated Services Digital Network (ISDN)
PPT
Switching
PPT
Point to Point Protocol
PPT
Networking and Networking Devices
PPT
DATA Link Control
PPT
Error Detection and Correction
PPT
Telephone Network
PPT
Time Division Multiplexing
PPT
MULTIPLEXING
PPT
Radio Communication Band
PPT
Transmission Media
PPT
DB-37 AND DB-9 CONNECTORS
PPT
Transmission Of Digital Data
Upper OSI LAYER
SONET/SDH
Frame Relay
Integrated Services Digital Network (ISDN)
Switching
Point to Point Protocol
Networking and Networking Devices
DATA Link Control
Error Detection and Correction
Telephone Network
Time Division Multiplexing
MULTIPLEXING
Radio Communication Band
Transmission Media
DB-37 AND DB-9 CONNECTORS
Transmission Of Digital Data

Recently uploaded (20)

PPTX
additive manufacturing of ss316l using mig welding
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PPTX
Sustainable Sites - Green Building Construction
PDF
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
PPTX
Foundation to blockchain - A guide to Blockchain Tech
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PDF
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
DOCX
573137875-Attendance-Management-System-original
PDF
Model Code of Practice - Construction Work - 21102022 .pdf
PPTX
UNIT 4 Total Quality Management .pptx
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PPTX
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
PPTX
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
PPT
Mechanical Engineering MATERIALS Selection
PDF
Embodied AI: Ushering in the Next Era of Intelligent Systems
PDF
Arduino robotics embedded978-1-4302-3184-4.pdf
PPTX
CH1 Production IntroductoryConcepts.pptx
PPTX
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx
additive manufacturing of ss316l using mig welding
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
Sustainable Sites - Green Building Construction
Mohammad Mahdi Farshadian CV - Prospective PhD Student 2026
Foundation to blockchain - A guide to Blockchain Tech
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
573137875-Attendance-Management-System-original
Model Code of Practice - Construction Work - 21102022 .pdf
UNIT 4 Total Quality Management .pptx
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
MCN 401 KTU-2019-PPE KITS-MODULE 2.pptx
Recipes for Real Time Voice AI WebRTC, SLMs and Open Source Software.pptx
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
Mechanical Engineering MATERIALS Selection
Embodied AI: Ushering in the Next Era of Intelligent Systems
Arduino robotics embedded978-1-4302-3184-4.pdf
CH1 Production IntroductoryConcepts.pptx
CARTOGRAPHY AND GEOINFORMATION VISUALIZATION chapter1 NPTE (2).pptx

Data Communication And Networking - DIGITAL TRANSMISSION

  • 1. 4.1 Chapter 4 Digital Transmission Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
  • 2. 4.2 4-1 DIGITAL-TO-DIGITAL CONVERSION4-1 DIGITAL-TO-DIGITAL CONVERSION In this section, we see how we can represent digitalIn this section, we see how we can represent digital data by using digital signals. The conversion involvesdata by using digital signals. The conversion involves three techniques:three techniques: line codingline coding,, block codingblock coding, and, and scramblingscrambling. Line coding is always needed; block. Line coding is always needed; block coding and scrambling may or may not be needed.coding and scrambling may or may not be needed.  Line Coding  Line Coding Schemes  Block Coding  Scrambling Topics discussed in this section:Topics discussed in this section:
  • 3. 4.3 Line Coding  Converting a string of 1’s and 0’s (digital data) into a sequence of signals that denote the 1’s and 0’s.  For example a high voltage level (+V) could represent a “1” and a low voltage level (0 or -V) could represent a “0”.
  • 4. 4.4 Figure 4.1 Line coding and decoding
  • 5. 4.5 Mapping Data symbols onto Signal levels  A data symbol (or element) can consist of a number of data bits:  1 , 0 or  11, 10, 01, ……  A data symbol can be coded into a single signal element or multiple signal elements  1 -> +V, 0 -> -V  1 -> +V and -V, 0 -> -V and +V  The ratio ‘r’ is the number of data elements carried by a signal element.
  • 6. 4.6 Relationship between data rate and signal rate  The data rate defines the number of bits sent per sec - bps. It is often referred to the bit rate.  The signal rate is the number of signal elements sent in a second and is measured in bauds. It is also referred to as the modulation rate.  Goal is to increase the data rate whilst reducing the baud rate.
  • 7. 4.7 Figure 4.2 Signal element versus data element
  • 8. 4.8 Data rate and Baud rate  The baud or signal rate can be expressed as: S = c x N x 1/r bauds where N is data rate c is the case factor (worst, best & avg.) r is the ratio between data element & signal element
  • 9. 4.9 A signal is carrying data in which one data element is encoded as one signal element ( r = 1). If the bit rate is 100 kbps, what is the average value of the baud rate if c is between 0 and 1? Solution We assume that the average value of c is 1/2 . The baud rate is then Example 4.1
  • 10. 4.10 Although the actual bandwidth of a digital signal is infinite, the effective bandwidth is finite. Note
  • 11. 4.11 The maximum data rate of a channel (see Chapter 3) is Nmax = 2 × B × log2 L (defined by the Nyquist formula). Does this agree with the previous formula for Nmax? Solution A signal with L levels actually can carry log2L bits per level. If each level corresponds to one signal element and we assume the average case (c = 1/2), then we have Example 4.2
  • 12. 4.12 Considerations for choosing a good signal element referred to as line encoding  Baseline wandering - a receiver will evaluate the average power of the received signal (called the baseline) and use that to determine the value of the incoming data elements. If the incoming signal does not vary over a long period of time, the baseline will drift and thus cause errors in detection of incoming data elements.  A good line encoding scheme will prevent long runs of fixed amplitude.
  • 13. 4.13 Line encoding C/Cs  DC components - when the voltage level remains constant for long periods of time, there is an increase in the low frequencies of the signal. Most channels are bandpass and may not support the low frequencies.  This will require the removal of the dc component of a transmitted signal.
  • 14. 4.14 Line encoding C/Cs  Self synchronization - the clocks at the sender and the receiver must have the same bit interval.  If the receiver clock is faster or slower it will misinterpret the incoming bit stream.
  • 15. 4.15 Figure 4.3 Effect of lack of synchronization
  • 16. 4.16 In a digital transmission, the receiver clock is 0.1 percent faster than the sender clock. How many extra bits per second does the receiver receive if the data rate is 1 kbps? How many if the data rate is 1 Mbps? Solution At 1 kbps, the receiver receives 1001 bps instead of 1000 bps. Example 4.3 At 1 Mbps, the receiver receives 1,001,000 bps instead of 1,000,000 bps.
  • 17. 4.17 Line encoding C/Cs  Error detection - errors occur during transmission due to line impairments.  Some codes are constructed such that when an error occurs it can be detected. For example: a particular signal transition is not part of the code. When it occurs, the receiver will know that a symbol error has occurred.
  • 18. 4.18 Line encoding C/Cs  Noise and interference - there are line encoding techniques that make the transmitted signal “immune” to noise and interference.  This means that the signal cannot be corrupted, it is stronger than error detection.
  • 19. 4.19 Line encoding C/Cs  Complexity - the more robust and resilient the code, the more complex it is to implement and the price is often paid in baud rate or required bandwidth.
  • 20. 4.20 Figure 4.4 Line coding schemes
  • 21. 4.21 Unipolar  All signal levels are on one side of the time axis - either above or below  NRZ - Non Return to Zero scheme is an example of this code. The signal level does not return to zero during a symbol transmission.  Scheme is prone to baseline wandering and DC components. It has no synchronization or any error detection. It is simple but costly in power consumption.
  • 23. 4.23 Polar - NRZ  The voltages are on both sides of the time axis.  Polar NRZ scheme can be implemented with two voltages. E.g. +V for 1 and -V for 0.  There are two versions:  NZR - Level (NRZ-L) - positive voltage for one symbol and negative for the other  NRZ - Inversion (NRZ-I) - the change or lack of change in polarity determines the value of a symbol. E.g. a “1” symbol inverts the polarity a “0” does not.
  • 24. 4.24 Figure 4.6 Polar NRZ-L and NRZ-I schemes
  • 25. 4.25 In NRZ-L the level of the voltage determines the value of the bit. In NRZ-I the inversion or the lack of inversion determines the value of the bit. Note
  • 26. 4.26 NRZ-L and NRZ-I both have an average signal rate of N/2 Bd. Note
  • 27. 4.27 NRZ-L and NRZ-I both have a DC component problem and baseline wandering, it is worse for NRZ-L. Both have no self synchronization &no error detection. Both are relatively simple to implement. Note
  • 28. 4.28 A system is using NRZ-I to transfer 1-Mbps data. What are the average signal rate and minimum bandwidth? Solution The average signal rate is S= c x N x R = 1/2 x N x 1 = 500 kbaud. The minimum bandwidth for this average baud rate is Bmin = S = 500 kHz. Note c = 1/2 for the avg. case as worst case is 1 and best case is 0 Example 4.4
  • 29. 4.29 Polar - RZ  The Return to Zero (RZ) scheme uses three voltage values. +, 0, -.  Each symbol has a transition in the middle. Either from high to zero or from low to zero.  This scheme has more signal transitions (two per symbol) and therefore requires a wider bandwidth.  No DC components or baseline wandering.  Self synchronization - transition indicates symbol value.  More complex as it uses three voltage level. It has no error detection capability.
  • 31. 4.31 Polar - Biphase: Manchester and Differential Manchester  Manchester coding consists of combining the NRZ-L and RZ schemes.  Every symbol has a level transition in the middle: from high to low or low to high. Uses only two voltage levels.  Differential Manchester coding consists of combining the NRZ-I and RZ schemes.  Every symbol has a level transition in the middle. But the level at the beginning of the symbol is determined by the symbol value. One symbol causes a level change the other does not.
  • 32. 4.32 Figure 4.8 Polar biphase: Manchester and differential Manchester schemes
  • 33. 4.33 In Manchester and differential Manchester encoding, the transition at the middle of the bit is used for synchronization. Note
  • 34. 4.34 The minimum bandwidth of Manchester and differential Manchester is 2 times that of NRZ. The is no DC component and no baseline wandering. None of these codes has error detection. Note
  • 35. 4.35 Bipolar - AMI and Pseudoternary  Code uses 3 voltage levels: - +, 0, -, to represent the symbols (note not transitions to zero as in RZ).  Voltage level for one symbol is at “0” and the other alternates between + & -.  Bipolar Alternate Mark Inversion (AMI) - the “0” symbol is represented by zero voltage and the “1” symbol alternates between +V and -V.  Pseudoternary is the reverse of AMI.
  • 36. 4.36 Figure 4.9 Bipolar schemes: AMI and pseudoternary
  • 37. 4.37 Bipolar C/Cs  It is a better alternative to NRZ.  Has no DC component or baseline wandering.  Has no self synchronization because long runs of “0”s results in no signal transitions.  No error detection.
  • 38. 4.38 Multilevel Schemes  In these schemes we increase the number of data bits per symbol thereby increasing the bit rate.  Since we are dealing with binary data we only have 2 types of data element a 1 or a 0.  We can combine the 2 data elements into a pattern of “m” elements to create “2m ” symbols.  If we have L signal levels, we can use “n” signal elements to create Ln signal elements.
  • 39. 4.39 Code C/Cs  Now we have 2m symbols and Ln signals.  If 2m > Ln then we cannot represent the data elements, we don’t have enough signals.  If 2m = Ln then we have an exact mapping of one symbol on one signal.  If 2m < Ln then we have more signals than symbols and we can choose the signals that are more distinct to represent the symbols and therefore have better noise immunity and error detection as some signals are not valid.
  • 40. 4.40 In mBnL schemes, a pattern of m data elements is encoded as a pattern of n signal elements in which 2m ≤ Ln . Note
  • 41. 4.41 Representing Multilevel Codes  We use the notation mBnL, where m is the length of the binary pattern, B represents binary data, n represents the length of the signal pattern and L the number of levels.  L = B binary, L = T for 3 ternary, L = Q for 4 quaternary.
  • 43. 4.43 Redundancy  In the 2B1Q scheme we have no redundancy and we see that a DC component is present.  If we use a code with redundancy we can decide to use only “0” or “+” weighted codes (more +’s than -’s in the signal element) and invert any code that would create a DC component. E.g. ‘+00++-’ -> ‘-00--+’  Receiver will know when it receives a “-” weighted code that it should invert it as it doesn’t represent any valid symbol.
  • 45. 4.45 Multilevel using multiple channels  In some cases, we split the signal transmission up and distribute it over several links.  The separate segments are transmitted simultaneously. This reduces the signalling rate per link -> lower bandwidth.  This requires all bits for a code to be stored.  xD: means that we use ‘x’ links  YYYz: We use ‘z’ levels of modulation where YYY represents the type of modulation (e.g. pulse ampl. mod. PAM).  Codes are represented as: xD-YYYz
  • 47. 4.47 Multitransition Coding  Because of synchronization requirements we force transitions. This can result in very high bandwidth requirements -> more transitions than are bits (e.g. mid bit transition with inversion).  Codes can be created that are differential at the bit level forcing transitions at bit boundaries. This results in a bandwidth requirement that is equivalent to the bit rate.  In some instances, the bandwidth requirement may even be lower, due to repetitive patterns resulting in a periodic signal.
  • 49. 4.49 MLT-3  Signal rate is same as NRZ-I  But because of the resulting bit pattern, we have a periodic signal for worst case bit pattern: 1111  This can be approximated as an analog signal a frequency 1/4 the bit rate!
  • 50. 4.50 Table 4.1 Summary of line coding schemes
  • 51. 4.51 Block Coding  For a code to be capable of error detection, we need to add redundancy, i.e., extra bits to the data bits.  Synchronization also requires redundancy - transitions are important in the signal flow and must occur frequently.  Block coding is done in three steps: division, substitution and combination.  It is distinguished from multilevel coding by use of the slash - xB/yB.  The resulting bit stream prevents certain bit combinations that when used with line encoding would result in DC components or poor sync. quality.
  • 52. 4.52 Block coding is normally referred to as mB/nB coding; it replaces each m-bit group with an n-bit group. Note
  • 53. 4.53 Figure 4.14 Block coding concept
  • 54. 4.54 Figure 4.15 Using block coding 4B/5B with NRZ-I line coding scheme
  • 55. 4.55 Table 4.2 4B/5B mapping codes
  • 56. 4.56 Figure 4.16 Substitution in 4B/5B block coding
  • 57. 4.57 Redundancy  A 4 bit data word can have 24 combinations.  A 5 bit word can have 25=32 combinations.  We therefore have 32 - 26 = 16 extra words.  Some of the extra words are used for control/signalling purposes.
  • 58. 4.58 We need to send data at a 1-Mbps rate. What is the minimum required bandwidth, using a combination of 4B/5B and NRZ-I or Manchester coding? Solution First 4B/5B block coding increases the bit rate to 1.25 Mbps. The minimum bandwidth using NRZ-I is N/2 or 625 kHz. The Manchester scheme needs a minimum bandwidth of 1.25 MHz. The first choice needs a lower bandwidth, but has a DC component problem; the second choice needs a higher bandwidth, but does not have a DC component problem. Example 4.5
  • 59. 4.59 Figure 4.17 8B/10B block encoding
  • 60. 4.60 More bits - better error detection  The 8B10B block code adds more redundant bits and can thereby choose code words that would prevent a long run of a voltage level that would cause DC components.
  • 61. 4.61 Scrambling  The best code is one that does not increase the bandwidth for synchronization and has no DC components.  Scrambling is a technique used to create a sequence of bits that has the required c/c’s for transmission - self clocking, no low frequencies, no wide bandwidth.  It is implemented at the same time as encoding, the bit stream is created on the fly.  It replaces ‘unfriendly’ runs of bits with a violation code that is easy to recognize and removes the unfriendly c/c.
  • 62. 4.62 Figure 4.18 AMI used with scrambling
  • 63. 4.63 For example: B8ZS substitutes eight consecutive zeros with 000VB0VB. The V stands for violation, it violates the line encoding rule B stands for bipolar, it implements the bipolar line encoding rule
  • 64. 4.64 Figure 4.19 Two cases of B8ZS scrambling technique
  • 65. 4.65 HDB3 substitutes four consecutive zeros with 000V or B00V depending on the number of nonzero pulses after the last substitution. If # of non zero pulses is even the substitution is B00V to make total # of non zero pulse even. If # of non zero pulses is odd the substitution is 000V to make total # of non zero pulses even.
  • 66. 4.66 Figure 4.20 Different situations in HDB3 scrambling technique