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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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McGraw-Hill The McGraw-Hill Companies, Inc., 2004
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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McGraw-Hill The McGraw-Hill Companies, Inc., 2004
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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McGraw-Hill The McGraw-Hill Companies, Inc., 2004
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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Figure 3.21 Attenuation