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DATA COMMUNICATIONS & NETWORKING LECTURE-08 Course Instructor : Sehrish Rafiq Department Of Computer Science University Of Peshawar

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  • DATA COMMUNICATIONS & NETWORKING

    LECTURE-08

    Course Instructor : Sehrish RafiqDepartment Of Computer Science

    University Of Peshawar

  • LECTURE OVERVIEW Conversion methods Line coding Characteristics of line coding Signal level & Data Level Pulse Rate & Bit Rate DC Component Self Synchronization Line coding Schemes Unipolar Polar NRZ RZ Manchester and Differential Manchester Bipolar

  • CONVERSION METHODS OR ENCODING & MODULATION

    How information is transformed depends on its original format and on the format used by the communication hardware.

    Conversion methods Digital-to-digital conversion or Line coding Analog-to-digital conversion or Sampling Digital -to- analog modulation Analog -to -analog modulation

  • LINE CODING Line coding is the process of converting binary data, a

    sequence of bits to a digital signal. In other words, line coding converts a sequence of bits to

    a digital signal. At the sender, digital data are encoded in to digital

    signal. At the receiver, the digital data are recreated by decoding

    the digital signal back in to digital data.

  • LINE CODING & DECODING

  • SIGNAL LEVEL & DATA LEVEL The number of values allowed in a particular signal is known

    as the number of signal levels. The number of values used to represent data is known as the

    number of data levels.

  • DATA ELEMENT VERSUS SIGNAL ELEMENT

    A data Element is the smallest entity that can represent a piece of information this is the bit.

    A signal element is the shortest unit time wise of a digital signal.

    In other words data elements are what we need to send.

    Signal elements are what we can send. Data elements are being carried, signal elements

    are the carriers. r is defined as the ratio which is the number of

    data elements carried by each signal element.

  • DATA ELEMENT VERSUS SIGNAL ELEMENT

  • DATA RATE VERSUS SIGNAL RATE

    The data rate is defined as the number of data elements sent in one second usually expressed in bps.

    Data rate is also called Bit rate. The signal rate is defined as the number of signal

    elements sent in one second. A signal rate is also called a pulse rate. A signal element is also called a symbol or pulse. One pulse or signal element can carry more than one bit. When a pulse or signal element carry only one bit then

    the bit rate and pulse rate/signal rate are same. The signal rate is sometimes called modulation rate or

    baud rate.

  • FORMULA FOR BIT RATE

    Bit Rate=Pulse Rate x x log2 L

    Where L is the number of data Levels.Where L is the number of data Levels.

  • Example 1Example 1

    A signal has two data levels with a pulse duration of 1 ms. We calculate the pulse rate and bit rate as follows:

    Pulse Rate = 1/ 10Pulse Rate = 1/ 10-3-3= 1000 pulses/s= 1000 pulses/s

    Bit Rate = Pulse Rate x logBit Rate = Pulse Rate x log22 L = 1000 x log L = 1000 x log22 2 = 1000 bps 2 = 1000 bps

    SolutionSolution

  • Example 2Example 2

    A signal has four data levels with a pulse duration of 1 ms. We calculate the pulse rate and bit rate as follows:

    Pulse Rate = = 1000 pulses/sPulse Rate = = 1000 pulses/s

    Bit Rate = Pulse Rate x logBit Rate = Pulse Rate x log22 L = 1000 x log L = 1000 x log22 4 = 2000 bps 4 = 2000 bps

    SolutionSolution

  • DC COMPONENT When the voltage level is constant for a while very low

    frequencies are often created. These frequencies around zero are called DC or Direct

    Current components. This component is undesirable for two reasons. First if a signal has to pass through a system (e.g. a

    telephone line which does not allow frequencies below 200 Hz) which does not allow low frequencies to pass the signal is distorted and may create errors in the output.

    Second this component is extra energy residing on the line and is useless.

  • DC COMPONENT

  • SELF-SYNCHRONIZATION To correctly interpret the signals received from the

    sender, the receiver’s bit intervals must correspond exactly to the sender’s bit intervals.

    If the receiver’s clock is faster or slower, the bit intervals are not matched and the receiver might interpret the signals differently then the sender intended.

    A self synchronizing digital signal includes timing information in the data being transmitted.

    This can be achieved if there are transitions in the signal that alert the receiver to the beginning, middle or end of the pulse.

    If the receiver clock is out of synchronization, these alerting points can reset the clock.

  • LACK OF SYNCHRONIZATION

  • Example 3Example 3

    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?

    SolutionSolution

    At 1 Kbps:1000 bits sent 1001 bits received1 extra bpsAt 1 Mbps: 1,000,000 bits sent 1,001,000 bits received1000 extra bps

  • LINE CODING SCHEMES

  • UNIPOLAR SCHEME Digital transmission systems work by sending voltage

    pulses along a medium link, usually a wire or cable. In many types of encoding, one voltage level stands for

    binary 0,another level stands for binary 1. The polarity of a pulse refers to whether it is positive or

    negative. Unipolar encoding is so named because it uses only one

    polarity. The polarity is assigned to one of the two binary states,

    usually the 1. The other state usually 0 is represented by zero voltage.

  • UNIPOLAR SCHEME

  • PROBLEMS USING UNI POLAR SCHEME

    DC Component The average amplitude of a unipolar encoded signal is non

    zero. This creates a DC component.

    Lack of synchronization If the data contain a long sequence of 0’s and 1’s there is no

    change in the signal during this duration that can alert the receiver to potential synchronization problems.

  • POLAR ENCODING SCHEMES Polar encoding uses two voltage levels, one positive and

    one negative. By using the two Levels, in most polar encoding

    methods the average voltage level on the line is reduced and the dc component problem seen in unipolar encoding is alleviated.

  • NRZ(NON RETURN TO ZERO) SCHEMES

    In NRZ encoding the value of the signal is always positive or negative.

    Two popular forms of NRZ are: NRZ-L(Non Return to Zero-Level) In NRZ-L the level of the signal depends on the type of

    bit that it represent. The positive voltage usually means a 0 while a negative

    voltage means the bit is a 1. Problem: Long stream of 0’s or 1’s may create

    synchronization problem.

  • NRZ(NON RETURN TO ZERO) SCHEMES

    NRZ-I(NRZ-Invert) In NRZ-I ,an inversion of the voltage level represents a 1 bit. It is the transition between a positive and negative voltage, not the

    voltage itself, that represents a 1 bit. A 0 bit is represented by no change. NRZ-I is superior to NRZ-L due to the synchronization provided by

    the signal change each time a 1 bit is encountered. The existence of 1’s in the data stream allows the receiver to

    synchronize its timer to the actual arrival of transmission. A string of 0’s can still cause problems but because they are not as

    Likely,they are less of a problem.

  • NRZ(NON RETURN TO ZERO) SCHEMES

  • THANKS!! !

    Data Communications & Networking Lecture-08Lecture overviewConversion Methods or encoding & ModulationLine codingLine coding & DecodingSignal level & Data LevelData element Versus Signal elementData element Versus Signal elementData rate versus signal rateFormula for bit rateSlide 11Slide 12DC componentSlide 14Self-SynchronizationLack of synchronizationSlide 17Line Coding SchemesUniPolar SchemeSlide 20Problems using Uni polar schemePolar encoding SchemesNRZ(Non Return to Zero) SchemesSlide 24Slide 25THANKS!! !