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    McGraw-Hill The McGraw-Hill Companies, Inc., 2004

    Physical LayerPhysical LayerContinue LectureContinue Lecture

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    McGraw-Hill The McGraw-Hill Companies, Inc., 2004

    Chapter 3 of Data Communication & Networks

    Author by Behrouz A. Forouzan

    Fundamental ofSignals

    Continue Lecture

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    3.3 Digital Signals3.3 Digital Signals

    Bit Interval and Bit RateAs a Composite Analog Signal

    Through Wide-Bandwidth MediumThrough Band-Limited Medium

    Versus Analog BandwidthHigher Bit Rate

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    Figure 3.16 A digital signal

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    McGraw-Hill The McGraw-Hill Companies, Inc., 2004

    Example 6Example 6

    A digital signal has a bit rate of 2000 bps. What is the

    duration of each bit (bit interval)

    SolutionSolution

    The bit interval is the inverse of the bit rate.

    Bit interval = 1/ 2000 s = 0.000500 s

    = 0.000500 x 106

    s = 500 s

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    Figure 3.17 Bit rate and bit interval

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    Figure 3.18 Digital versus analog

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    A digital signal is a composite signalA digital signal is a composite signal

    with an infinite bandwidth.with an infinite bandwidth.

    Note:Note:

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    Table 3.12 Bandwidth RequirementTable 3.12 Bandwidth RequirementBit

    Rate

    Harmonic

    1

    Harmonics

    1, 3

    Harmonics

    1, 3, 5

    Harmonics

    1, 3, 5, 7

    1 Kbps 500 Hz 2 KHz 4.5 KHz 8 KHz

    10 Kbps 5 KHz 20 KHz 45 KHz 80 KHz

    100 Kbps 50 KHz 200 KHz 450 KHz 800 KHz

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    The bit rate and the bandwidth areThe bit rate and the bandwidth are

    proportional to each other.proportional to each other.

    Note:Note:

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    3.4 Analog versus Digital3.4 Analog versus Digital

    Low-pass versus Band-pass

    Digital Transmission

    Analog Transmission

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    Figure 3.19 Low-pass and band-pass

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    The analog bandwidth of a medium isThe analog bandwidth of a medium is

    expressed in hertz; the digitalexpressed in hertz; the digitalbandwidth, in bits per second.bandwidth, in bits per second.

    Note:Note:

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    Digital transmission needs aDigital transmission needs a

    low-pass channel.low-pass channel.

    Note:Note:

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    Analog transmission can use a band-Analog transmission can use a band-

    pass channel.pass channel.

    Note:Note:

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    3.5 Data Rate Limit3.5 Data Rate Limit

    Noiseless Channel: Nyquist Bit Rate

    Noisy Channel: Shannon Capacity

    Using Both Limits

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    Example 7Example 7

    Consider a noiseless channel with a bandwidth of 3000 Hz

    transmitting a signal with two signal levels. The maximumbit rate can be calculated as

    BitBit Rate = 2Rate = 2 30003000 loglog22 2 = 6000 bps2 = 6000 bps

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    Example 8Example 8

    Consider the same noiseless channel, transmitting a signal

    with four signal levels (for each level, we send two bits).The maximum bit rate can be calculated as:

    Bit Rate = 2 x 3000 x logBit Rate = 2 x 3000 x log22 4 = 12,000 bps4 = 12,000 bps

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    Example 9Example 9

    Consider an extremely noisy channel in which the value of

    the signal-to-noise ratio is almost zero. In other words, thenoise is so strong that the signal is faint. For this channel

    the capacity is calculated as

    C = B logC = B log22 (1 + SNR) = B log(1 + SNR) = B log22 (1 + 0)(1 + 0)

    = B log= B log22 (1) = B(1) = B 0 = 00 = 0

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    Example 10Example 10

    We can calculate the theoretical highest bit rate of a

    regular telephone line. A telephone line normally has abandwidth of 3000 Hz (300 Hz to 3300 Hz). The signal-to-

    noise ratio is usually 3162. For this channel the capacity is

    calculated as

    C = B logC = B log22 (1 + SNR) = 3000 log(1 + SNR) = 3000 log22 (1 + 3162)(1 + 3162)

    = 3000 log= 3000 log22 (3163)(3163)C = 3000C = 3000 11.62 = 34,860 bps11.62 = 34,860 bps

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    Example 11Example 11

    We have a channel with a 1 MHz bandwidth. The SNR for

    this channel is 63; what is the appropriate bit rate andsignal level?

    SolutionSolution

    C = B logC = B log22

    (1 + SNR) = 10(1 + SNR) = 1066 loglog22

    (1 + 63) = 10(1 + 63) = 1066 loglog22

    (64) = 6 Mbps(64) = 6 Mbps

    Then we use the Nyquist formula to find thenumber of signal levels.

    4 Mbps = 24 Mbps = 2 1 MHz1 MHz loglog22LL L = 4L = 4

    First, we use the Shannon formula to find our upper limit.First, we use the Shannon formula to find our upper limit.

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    3.6 Transmission Impairment3.6 Transmission Impairment

    Attenuation (The gradual loss of intensity of any kind of flux) (

    Distortion (is the alteration of the original shape )

    Noise (a random fluctuation in an electrical signal)

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    Figure 3.20 Impairment types

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    M G Hill Th M G Hill C i I 2004

    Figure 3.21 Attenuation


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