Data Communications - PowerPoint PPT Presentation

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Data Communications

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Title: Week One - Signals Author: Curt M. White Last modified by: Curt M. White Created Date: 9/1/2002 11:24:33 PM Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: Data Communications


1
Data Communications
  • Chapter 3
  • Data and Signals

2
Terminology (1)
  • Transmitter
  • Receiver
  • Medium
  • Guided medium
  • e.g. twisted pair, optical fiber
  • Unguided medium
  • e.g. air, water, vacuum

3
Terminology (2)
  • Direct link
  • No intermediate devices
  • Point-to-point
  • Direct link
  • Only 2 devices share link
  • Multi-point
  • More than two devices share the link

4
Terminology (3)
  • Simplex
  • One direction
  • e.g. Television
  • Half duplex
  • Either direction, but only one way at a time
  • e.g. police radio
  • Full duplex
  • Both directions at the same time
  • e.g. telephone

5
Frequency, Spectrum and Bandwidth
  • Time domain concepts
  • Continuous signal
  • Infinite number of points at any given time
  • Discrete signal
  • Finite number of points at any given time
    maintains a constant level then changes to
    another constant level
  • Periodic signal
  • Pattern repeated over time
  • Aperiodic signal
  • Pattern not repeated over time

6
Continuous Discrete Signals
7
Periodic Signals
8
Sine Wave
  • Peak Amplitude (A)
  • Maximum strength of signal
  • Typically volts
  • Frequency (f)
  • Rate of change of signal
  • Hertz (Hz) or cycles per second
  • Period time for one repetition (T)
  • T 1/f
  • Phase (?)
  • Relative position in time

9
Varying Sine Waves
10
Frequency Domain Concepts
  • Signal usually made up of many frequencies
  • Components are sine waves
  • Can be shown (Fourier analysis) that any signal
    is made up of component sine waves
  • Can plot frequency domain functions

11
Addition of FrequencyComponents
12
FrequencyDomain
13
Spectrum Bandwidth
  • Spectrum
  • range of frequencies contained in signal
  • Absolute bandwidth
  • width of spectrum
  • Effective bandwidth
  • Often just bandwidth
  • Narrow band of frequencies containing most of the
    energy
  • DC component
  • Component of zero frequency

14
Signal with DC Component
15
Analog and Digital Data Transmission
  • Data
  • Entities that convey meaning
  • Signals
  • Electric or electromagnetic representations of
    data
  • Transmission
  • Communication of data by propagation and
    processing of signals

16
Data
  • Analog
  • Continuous values within some interval
  • e.g. sound, video
  • Digital
  • Discrete values
  • e.g. text, integers

17
Signals
  • Means by which data are propagated
  • Analog
  • Continuously variable
  • Various media
  • wire, fiber optic, space
  • Speech bandwidth 100Hz to 7kHz
  • Telephone bandwidth 300Hz to 3400Hz
  • Video bandwidth 4MHz
  • Digital
  • Uses two (or more) DC components

18
Data and Signals
  • Usually use digital signals for digital data and
    analog signals for analog data
  • Can use analog signal to carry digital data
  • Modem
  • Can use digital signal to carry analog data
  • Compact Disc audio

19
Analog Signals Carrying Analog and Digital Data
20
Digital Signals Carrying Analog and Digital Data
21
Analog Transmission
  • Analog signal transmitted without regard to
    content
  • May be analog or digital data
  • Attenuated over distance
  • Use amplifiers to boost signal
  • Also amplifies noise

22
Digital Transmission
  • Concerned with content
  • Integrity endangered by noise, attenuation etc.
  • Repeaters used
  • Repeater receives signal
  • Extracts bit pattern
  • Retransmits
  • Attenuation is overcome
  • Noise is not amplified

23
Advantages of Digital Transmission
  • Digital technology
  • Low cost LSI/VLSI technology
  • Data integrity
  • Longer distances over lower quality lines
  • Capacity utilization
  • High bandwidth links economical
  • High degree of multiplexing easier with digital
    techniques
  • Security Privacy
  • Encryption

24
Transmission Impairments
  • Signal received may differ from signal
    transmitted
  • Analog - degradation of signal quality
  • Digital - bit errors
  • Caused by
  • Attenuation and attenuation distortion
  • Delay distortion
  • Noise

25
Attenuation
  • Signal strength falls off with distance
  • Depends on medium
  • Received signal strength
  • must be enough to be detected
  • must be sufficiently higher than noise to be
    received without error
  • Attenuation is an increasing function of
    frequency

26
Attenuation
  • Signal strength is measured in decibels (dB)
  • dB is a relative measure of loss (or gain)
  • NdB 10 log10 (P2 / P1)
  • P2 ending power level in watts
  • P1 beginning power level in watts
  • Example P1 10 watts, P2 5 watts
  • Even easier remember ½ rule
  • Losses and gains are additive

27
Attenuation
  • Signal to noise ratio shows the ratio of signal
    power to noise power
  • S/NdB 10 log10 (signal power/noise power)
  • Example 1 Signal power 1000 watts, noise
    power 20 mw
  • Example 2 Signal power 100 w, noise power
    0.000002w

28
Delay Distortion
  • Only in guided media
  • Propagation velocity varies with frequency

29
Noise (1)
  • Additional signals inserted between transmitter
    and receiver
  • Thermal
  • Due to thermal agitation of electrons
  • Uniformly distributed
  • White noise
  • Intermodulation
  • Signals that are the sum and difference of
    original frequencies sharing a medium

30
Noise (2)
  • Crosstalk
  • A signal from one line is picked up by another
  • Impulse
  • Irregular pulses or spikes
  • e.g. External electromagnetic interference
  • Short duration
  • High amplitude

31
Data Rate and Bandwidth
  • Any transmission system has a limited band of
    frequencies
  • This limits the data rate that can be carried
  • The faster the frequency, the faster the data
    rate

32
Channel Capacity
  • Data rate
  • In bits per second
  • Rate at which data can be communicated
  • Bandwidth
  • In cycles per second of Hertz
  • Constrained by transmitter and medium
  • Baud rate
  • Frequency with which the components change

33
BPS vs. Baud
  • Data rate rarely the same as baud rate
  • Examples

34
Channel Capacity
  • Nyquist
  • Maximum data rate of a noiseless channel
  • 2 H log2 V bps
  • Where H frequency
  • V the number of discrete levels
  • Example H 4000 Hz, V 2

35
Channel Capacity
  • Shannon (which includes noise)
  • Maximum data rate (in bps) H log2 (1 S/N)
  • H frequency
  • S signal power in watts
  • N noise power in watts
  • Example H 3400 Hz, S 0.2 w, N 0.0002 w
  • Max data rate 3400 log2 (11000)
  • 3400 x 9.97
  • 33898 bps

36
Review Questions
  • List the advantages and disadvantages of analog
    and digital
  • What is the difference between data and signals?
  • List the three components of a signal
  • What is a composite signal?
  • How do you calculate a dB?

37
Review Questions
  • How do you use the Nyquist formula?
  • 4000 Hz, 8 signal levels, data rate?
  • 50,000 bps data rate, 4000 Hz, how many signal
    levels?
  • How do you use the Shannon formula?
  • 8000 Hz, signal power 20w, noise power
    0.002w, what is the data rate?
  • 5000 Hz, signal power 50w, data rate
    20000bps, what is the possible noise power?
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