Chapter 2- Physical Layer
Computer Networks
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Data Communication System Components
Computer Networks
Data Communication
Computer Networks
3.4
Note
Data can be analog or digital. �Analog data are continuous and take continuous values.
Digital data have discrete states and take discrete values.
Signals can be analog or digital. �Analog signals can have an infinite number of values in a range; digital signals can have only a limited �number of values.
To be transmitted, data must be transformed to electromagnetic signals.
3.5
Figure 3.1 Comparison of analog and digital signals
3.6
Figure Understanding of Cycle, Half cycle, Phase, Amplitude, Frequency of signals
3.7
In data communications, we commonly use periodic analog signals and nonperiodic digital signals.
3.8
Figure 3.3 Two signals with the same phase and frequency, � but different amplitudes
3.9
Frequency and period are the inverse of each other.
Note
3.10
Figure 3.4 Two signals with the same amplitude and phase,� but different frequencies
3.11
The power we use at home has a frequency of 60 Hz. The period of this sine wave can be determined as follows:
Example 3.3
3.12
Figure 3.7 The time-domain and frequency-domain plots of a sine wave
3.13
Figure 3.8 The time domain and frequency domain of three sine waves
3.14
A single-frequency sine wave is not useful in data communications;
we need to send a composite signal, a signal made of many simple sine waves.
According to Fourier analysis, any composite signal is a combination of
simple sine waves with different frequencies, amplitudes, and phases.
Fourier analysis is discussed in Appendix C.
3.15
Figure 3.9 A composite periodic signal
3.16
Figure 3.10 Decomposition of a composite periodic signal in the time and� frequency domains
3.17
Figure 3.11 The time and frequency domains of a nonperiodic signal
3.18
The bandwidth of a composite signal is the difference between the
highest and the lowest frequencies contained in that signal.
Note
Bandwidth
3.19
Figure 3.12 The bandwidth of periodic and nonperiodic composite signals
3.20
If a periodic signal is decomposed into five sine waves with frequencies of 100, 300, 500, 700, and 900 Hz, what is its bandwidth? Draw the spectrum, assuming all components have a maximum amplitude of 10 V.
Example 3.10
The spectrum has only five spikes, at 100, 300, 500, 700, and 900 Hz (see Figure 3.13).
Solution
Let fh be the highest frequency, fl the lowest frequency,
and B the bandwidth.
3.21
A nonperiodic composite signal has a bandwidth of 200 kHz, with a middle frequency of 140 kHz and peak amplitude of 20 V. The two extreme frequencies have an amplitude of 0. Draw the frequency domain of the signal.
Example 3.12
Solution
The lowest frequency must be at 40 kHz and the highest at 240 kHz. Figure 3.15 shows the frequency domain and the bandwidth.
3.22
Figure 3.15 The bandwidth for Example 3.12
3.23
Figure 3.16 Two digital signals: one with two signal levels and the other� with four signal levels
Figure 5-1
Different Conversion Schemes
Digital to Digital Encoding
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Analog to Digital Encoding
Digital to Analog Encoding
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Analog to Analog Modulation
Multiplexing
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Figure 8-1
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Multiplexing vs. No Multiplexing
Categories of Multiplexing
FDM – Analog ( Bandwidth in Hz )
-Modulated signals combined into
single composite signal
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Figure 8-4
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FDM
technique that combine analog signals
Figure 8-6
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Demultiplexing
FDM
where base station has to assign carrier freq.
to telephone user.
WDM – Wavelength division multiplexing.
Figure 8-8
WDM
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TDM
Figure 8-8
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Synchronous TDM
Figure 8-9
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Figure 8-10
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TDM, Multiplexing
Figure 8-11
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TDM, Demultiplexing
Statistical TDM
improve bandwidth efficiency
Figure 8-8
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End of session
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