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3.2

To be transmitted, data must be

transformed to electromagnetic signals.

(3)

3.3

3-1 ANALOG AND DIGITAL

Data can be analog or digital. The term analog data refers to information that is continuous; digital data refers to information that has discrete states. Analog data take on continuous values. Digital data take on discrete values.

Analog and Digital Data Analog and Digital Signals

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3.4

Note

Data can be analog or digital.

Analog data are continuous and take

continuous values.

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Signals

Analog Signal

An analog signal is a continuous wave denoted by a sine wave and may vary in

signal strength (amplitude) or frequency (time).

Digital Signal

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3.6

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.

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3.7

(8)

Both Analog and Digital signals can

take on of two forms:

Periodic Signal

Aperiodic Signal

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3.9

In data communications, we commonly use

periodic analog signals and nonperiodic

digital signals.

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3.10

3-2 PERIODIC ANALOG SIGNALS

Periodic analog signals can be classified as simple or composite.

• A simple periodic analog signal, a sine wave, cannot be decomposed into simpler signals.

A composite periodic analog signal is composed of multiple sine waves.

Sine Wave Wavelength

Time and Frequency Domain Composite Signals

Bandwidth

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3.11

(12)

A sine wave can be represented by 3

parameters:

Peak amplitude

Frequency

Phase

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3.13

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3.14

The voltage of a battery is a constant; this constant value can be considered a sine wave. For example, the peak value of an AA battery is normally 1.5 V.

(15)

Period and Frequency

Period : refers to the amount of time, in seconds, a signal needs to

complete one cycle.

Frequency: refers to the number of periods in 1 sec.

OR

Frequency of the signal is the no. of times a signal makes a complete cycle within a given time frame.

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3.16

Frequency and period are the inverse of

each other.

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3.17

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3.18

Table 3.1 Units of period and frequency

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3.19

The power we use at home has a frequency of 60 Hz. The period of this sine wave can be determined as follows:

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3.21

The period of a signal is 100 ms. What is its frequency in kilohertz?

Example 3.5

Solution

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3.22

Frequency is the rate of change with

respect to time.

Change in a short span of time

means high frequency.

Change over a long span of

time means low frequency.

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3.23

If a signal does not change at all, its

frequency is zero.

If a signal changes instantaneously, its

frequency is infinite.

(23)

Time and Frequency Domains

A signal can be represented as a function of time, i.e. it varies with

time.

However, it can be also expressed as a function of frequency, i.e. a

signal can be considered as a composition of different frequency components.

Thus, a signal has both time-domain and frequency domain

representation.

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Time-Domain and Frequency

Domain plot

Time-Domain plot shows changes in signal amplitude w.r.t time.

Frequency Domain plot show the relationship between amplitude and

frequency. This plot is only concerned with the peak value and the frequency.

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3.32

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3.33

A complete sine wave in the time domain

can be represented by one single spike in

the frequency domain.

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3.34

The frequency domain is more compact and useful when we are dealing with more than one sine wave. For example, Figure 3.8 shows three sine waves, each with different amplitude and frequency. All can be represented by three spikes in the frequency domain.

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3.35

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3.36

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.

(30)

3.37

According to Fourier analysis, any

composite signal is a combination of

simple sine waves with different

frequencies, amplitudes, and phases.

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3.38

The bandwidth of a composite signal is the difference between the

highest and the lowest frequencies contained in that signal.

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3.39

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3.40

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.

Solution

Let fh be the highest frequency, fl the lowest frequency, and B the bandwidth. Then

Example 3.10

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3.41

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3.42

A periodic signal has a bandwidth of 20 Hz. The highest frequency is 60 Hz. What is the lowest

frequency? Draw the spectrum if the signal contains all frequencies of the same amplitude.

Solution

Let fh be the highest frequency, fl the lowest frequency, and B the bandwidth. Then

Example 3.11

The spectrum contains all integer frequencies. We show this by a series of spikes (see Figure

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3.43

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3.44

3-3 DIGITAL SIGNALS

A digital signal refers to an electrical signal that is converted into a pattern of bits.

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3.45

3-4 TRANSMISSION IMPAIRMENT

Signals travel through transmission media, which are not perfect. The imperfection causes signal impairment. This means that the signal at the beginning of the medium is not the same as the signal at the end of the medium. What is sent is not what is received. Three causes of impairment are attenuation, distortion, and noise.

Attenuation

Distortion

Noise

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3.46

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Attenuation

Attenuation means a loss of energy

Attenuation is measured in decibels(dB). It measures the relative

strengths of two signals or one signal at two different point.

Attenuation(dB) = 10log10(P2/P1)

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3.48

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3.49

Suppose a signal travels through a transmission medium and its power is reduced to one-half.

This means that P2 is (1/2)P1. In this case, the attenuation (loss of power) can be calculated as

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3.51

A signal travels through an amplifier, and its power is increased 10 times. This means that P2 =

10P1 . In this case, the amplification (gain of power) can be calculated as

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(46)

Distortion

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Noise

The random or unwanted signal that mixes up with the original signal

is called noise.

There are several types of noise such as :

Induced noiseCrosstalk noise

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3.55

(49)

Signal-to-Noise Ratio (SNR)

It is a measure that compares the level of a desired signal to the level

of background noise.

SNR is defined as the ratio of average signal power to the average

noise power, often expressed in decibels.

(50)

3.57

The power of a signal is 10 mW and the power of the noise is 1 μW; what are the values of SNR

and SNRdB ?

(51)

Solution

(52)

Data Rate

Nyquist

Figure

Figure 3.1   Comparison of analog and digital signals
Figure 3.2   A sine wave
Figure 3.3   Two signals with the same phase and frequency, but different amplitudes
Figure 3.4   Two signals with the same amplitude and phase,                         but different frequencies
+7

References

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