Digital Signals: Analog and Digital Data, Signals, and Periodic Analog Signals, Lecture notes of Computer Systems Networking and Telecommunications

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UNIT II: UNDERSTANDING DIGITAL SIGNALS
1. Analog and Digital Signal
Data can be analog or digital. Analog data refers to information that is continuous; digital data
refers to information that has discrete states. For example, an analog clock that has hour, minute,
and second hands gives information in a continuous form; the movements of the hands are
continuous. On the other hand, a digital clock that reports the hours and the minutes will change
suddenly from 11:57 to 11:58
Figure: Analog vs Digital Data Representation
Analog data, such as the sounds made by a human voice, take on continuous values. When
someone speaks, an analog wave is created in the air. This can be captured by a microphone and
converted to an analog signal or sampled and converted to a digital signal.
Digital data takes on discrete values. For example, data are stored in computer memory in the
form of Os and 1s. They can be converted to a digital signal or modulated into an analog signal
for transmission across a medium
2.2 Analog and Digital Signals
Like the data they represent, signals can be either analog or digital. An analog signal has
infinitely many levels of intensity over a period of time. As the wave moves from value A to
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UNIT II: UNDERSTANDING DIGITAL SIGNALS

  1. Analog and Digital Signal Data can be analog or digital. Analog data refers to information that is continuous; digital data refers to information that has discrete states. For example, an analog clock that has hour, minute, and second hands gives information in a continuous form; the movements of the hands are continuous. On the other hand, a digital clock that reports the hours and the minutes will change suddenly from 11:57 to 11:

Figure: Analog vs Digital Data Representation

Analog data, such as the sounds made by a human voice, take on continuous values. When someone speaks, an analog wave is created in the air. This can be captured by a microphone and converted to an analog signal or sampled and converted to a digital signal.

Digital data takes on discrete values. For example, data are stored in computer memory in the form of Os and 1s. They can be converted to a digital signal or modulated into an analog signal for transmission across a medium

2.2 Analog and Digital Signals Like the data they represent, signals can be either analog or digital. An analog signal has infinitely many levels of intensity over a period of time. As the wave moves from value A to

value B, it passes through and includes an infinite number of values along its path. A digital signal, on the other hand, can have only a limited number of defined values. Although each value can be any number, it is often as simple as 1 and O. Figure below illustrate an analog signal and a digital signal. The curve representing the analog signal passes through an infinite number of points. The vertical lines of the digital signal, however, demonstrate the sudden jump that the signal makes from value to value.

Figure: Comparison of Analog and Digital Signals

Both analog and digital signals can take one of two forms: periodic or nonperiodic.

  • A periodic signal completes a pattern within a measurable time frame, called a period, and repeats that pattern over subsequent identical periods. The completion of one full pattern is called a cycle.
  • A nonperiodic signal changes without exhibiting a pattern or cycle that repeats over time. Both analog and digital signals can be periodic or nonperiodic.

In data communications, we frequently use periodic analog signals (because they need less bandwidth), and nonperiodic digital signals (because they can represent variation in data).

2.3 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.

Figure: Two signals with the same phase and frequency, but different amplitudes

b. Period and Frequency Period refers to the amount of time, in seconds, a signal needs to complete 1 cycle. Frequency refers to the number of periods in I s. Note that period and frequency are just one characteristic defined in two ways. Period is the inverse of frequency, and frequency is the inverse of period, as the following formulas show.