Chapter 2 Fundamentals of Data and Signals Flashcards

1
Q

Data, Signals and Computer networks ?
What can data signals be

A

Data are entities that convey meaning
Signals are the electric or electromagnetic encoding of data
Computer networks and data/voice communication systems
transmit signals
Data and signals can be analog or digital

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2
Q

What is the layer 1 of the OSI model?
What is Point-to-point transmission of data across nodes:

A

Layer 1 of the OSI model is all about the physical
transmission of signals over media
Point-to-point transmission of data across nodes:
– Specifies the type of connection and the signals that pass through it
– Signals can be analog or digital, broadband or baseband
– The capacity (throughput) of the network depends on the type of
cabling used

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3
Q

Single properties of amplitudes, frequencies Wavelength and phase

A

Amplitude:
– The “height” of the wave above (or below) a central point, often
measured in volts (V)
* Frequency:
– The number of waves that pass a given point per second, measured in Hertz (Hz)
* Wavelength:
– The distance from the start to the end of the wave, measured in meters
(m)
* Phase:
– Position of the waveform at a given time, measured in degrees of shift (o

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4
Q

More on frequencies, what is the spectrum and bandwidth

A

The frequency is the number of times a signal makes a complete cycle
within a given time frame
* Spectrum - The range of frequencies that a signal spans from minimum
to maximum
* Bandwidth - The absolute value of the difference between the lowest and
highest frequencies of a signal

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5
Q

More on phase?

A

The phase of a signal is the position of the waveform relative
to a given moment of time or relative to time zero
* A change in phase can be any number of angles between 0
and 360 degrees
* Phase changes often occur on common angles, such as 45,
90, 135, etc.

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6
Q

Signal strength?

A

All signals experience loss (attenuation)
* Attenuation is denoted as a decibel (dB) loss
* Decibel losses (and gains) are additive

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7
Q

4B and 5B data encoding?

A

Encoding technique that
converts four bits of data
into five-bit quantities
– The five-bit quantities are
unique in that no five-bit
code has more than 2
consecutive zeroes
– The five-bit code is then
transmitted using an NRZ-I
encoded signal

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8
Q

Amplitude shift keying?

A

One amplitude encodes a 0 while another amplitude
encodes a 1 (amplitude modulation)

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9
Q

Frequency shift keying?

A

One frequency encodes a 0 while another frequency
encodes a 1 (frequency modulation)

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10
Q

Phase shift keying?

A

One phase change encodes a 0 while another phase change
encodes a 1 (phase modulation)

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11
Q

How do you send more data?

A

Use a higher frequency signal (make
sure the medium can handle the higher
frequency
Use a higher number of signal levels
In both cases, noise can be a problem
The most common (because it’s cheaper)
is amplitude, or frequency

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12
Q

Distinguish between data and signals?

A

Data are entities that convey meaning within a computer or
computer system
* Signals are the electric or electromagnetic impulses used to
encode and transmit data

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13
Q

distinguish between analog vs digital?

A

Data and signals can be either analog or digital
* Analog is a continuous waveform, with examples such as
(naturally occurring) music and voice
* It is harder to separate noise from an analog signal than it is
to separate noise from a digital signal (see the following two
slides)
Digital is a discrete or non-continuous waveform
* Something about the signal makes it obvious that the signal
can only appear in a fixed number of forms (see next slide)
* Noise in digital signal
– You can still discern a high voltage from a low voltage
– Too much noise – you cannot discern a high voltage from a low
voltage

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14
Q

What are the three components of a signal

A

Amplitude
– Frequency
– Phase

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15
Q

Amplitude

A

– The height of the wave above or below a given reference point
– Amplitude is usually measured in volt

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16
Q

Frequency: Spectrum and bandwidth

A

The number of times a signal makes a complete cycle within a given
time frame; frequency is measured in Hertz (Hz), or cycles per
second (period = 1 / frequency)
– Spectrum – Range of frequencies that a signal spans from minimum
to maximum
– Bandwidth – Absolute value of the difference between the lowest and
highest frequencies of a signal
– For example, consider an average voice
* The average voice has a frequency range of roughly 300 Hz to 3100
Hz
* The spectrum would be 300 – 3100 Hz
* The bandwidth would be 2800 Hz

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17
Q

Phase

A

The position of the waveform relative to a given moment of time or
relative to time zero
– A change in phase can be any number of angles between 0 and 360
degrees
– Phase changes often occur on common angles, such as 45, 90, 135,
etc

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18
Q

Phase and Phase Angles

A

If a signal can experience two different phase angles, then 1 bit can
be transmitted with each signal change (each baud)
– If a signal can experience four different phase angles, then 2 bits can
be transmitted with each signal change (each baud)
– Note: number of bits transmitted with each signal change = log2
(number of different phase angles)
– (You can replace “phase angles” with “amplitude levels” or “frequency
levels”)

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19
Q

Loss of signal strength

A

All signals experience loss (attenuation)
* Attenuation is denoted as a decibel (dB) loss
* Decibel losses (and gains) are additive

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20
Q
  • Formula for decibel (dB):
A

dB = 10 x log10 (P2
/ P1
)
where P1
is the beginning power level and P2
is the ending power level

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21
Q

So if a signal loses 3 dB, is that a lot?
* What if a signal starts at 100 watts and ends at 50 watts?
What is dB loss?

A

dB = 10 x log10 (P2
/ P1
)
dB = 10 x log10 (50 / 100)
dB = 10 x log10 (0.5)
dB = 10 x -0.3
dB = -3.0
* So a 3.0 decibel loss losses half of its power

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22
Q

There are four main combinations of data and signals:

A

Analog data transmitted using analog signals
– Digital data transmitted using digital signals
– Digital data transmitted using discrete analog signals
– Analog data transmitted using digital signals

23
Q

Transmitting Analog Data with
Analog Signals

A

In order to transmit analog data, you can modulate the data
onto a set of analog signals
* Broadcast radio and the older broadcast television are two
very common examples of this
* We modulate the data onto another set of frequencies so
that all the different channels can coexist at different
frequencies

24
Q

Transmitting Digital Data with Digital Signals:
Digital Encoding Schemes: There are numerous techniques available to convert
digital data into digital signals. Let’s examine five:

A

There are numerous techniques available to convert
digital data into digital signals. Let’s examine five:
– NRZ-L
– NRZI
– Manchester
– Differential Manchester
– Bipolar AMI
* These are used in LANs and some telephone systems

25
Q

Nonreturn to Zero Digital Encoding
Schemes
Fundamental difference exists between NRZ-L and NRZI

A

Nonreturn to zero-level (NRZ-L) transmits 1s as zero
voltages and 0s as positive voltages
* Nonreturn to zero inverted (NRZI) has a voltage change at
the beginning of a 1 and no voltage change at the beginning
of a 0
* Fundamental difference exists between NRZ-L and NRZI
– With NRZ-L, the receiver has to check the voltage level for
each bit to determine whether the bit is a 0 or a 1,
– With NRZI, the receiver has to check whether there is a change
at the beginning of the bit to determine if it is a 0 or a 1

26
Q

Manchester Digital Encoding Schemes

A

Note how with a Differential Manchester code, every bit has
at least one significant change. Some bits have two signal
changes per bit (baud rate = twice bps)

27
Q

Bipolar-AMI Encoding Scheme

A

The bipolar-AMI encoding scheme is unique among all the
encoding schemes because it uses three voltage levels
– When a device transmits a binary 0, a zero voltage is transmitted
– When the device transmits a binary 1, either a positive voltage or a
negative voltage is transmitted
– Which of these is transmitted depends on the binary 1 value that was
last transmitted

28
Q

4B/5B Digital Encoding Scheme

A

Yet another encoding technique; this one converts four bits
of data into five-bit quantities
* The five-bit quantities are unique in that no five-bit code has
more than 2 consecutive zeroes
* The five-bit code is then transmitted using an NRZI encoded
signal

29
Q

Transmitting Digital Data with
Discrete Analog Signals
* Three basic techniques:

A

Transmitting Digital Data with
Discrete Analog Signals
* Three basic techniques:
– Amplitude shift keying
– Frequency shift keying
– Phase shift keying
* One can then combine two or more of these basic
techniques to form more complex modulation techniques
(such as quadrature amplitude modulation)

30
Q

Amplitude Shift Keying

A

Amplitude Shift Keying
* One amplitude encodes a 0 while another amplitude
encodes a 1 (a form of amplitude modulation)

30
Q

Frequency Shift Keying

A

One frequency encodes a 0 while another frequency
encodes a 1 (a form of frequency modulation)

31
Q

Phase Shift Keying

A

Phase Shift Keying
* One phase change encodes a 0 while another phase change
encodes a 1 (a form of phase modulation)

31
Q

Phase Shift Keying (continued)
* Quadrature Phase Shift Keying
– Four different phase angles used

A

45 degrees
* 135 degrees
* 225 degrees
* 315 degrees

31
Q

Quadrature amplitude modulation

A

As an example of QAM, 12 different phases are combined with two
different amplitudes
– Since only 4 phase angles have 2 different amplitudes, there are a
total of 16 combinations
– With 16 signal combinations, each baud equals 4 bits of information
(log2
(16) = 4, or inversely, 2 ^ 4 = 16)

31
Q

. Transmitting Analog Data with
Digital Signals, and two different techniques

A

To convert analog data into a digital signal, there are two
techniques:
– Pulse code modulation (the more common)
– Delta modulation

31
Q

Pulse Code Modulation (continued)

A

Pulse Code Modulation (continued)
* Since telephone systems digitize human voice, and since the
human voice has a fairly narrow bandwidth, telephone
systems can digitize voice into either 128 or 256 levels
* These are called quantization levels
* If 128 levels, then each sample is 7 bits (2 ^ 7 = 128)
* If 256 levels, then each sample is 8 bits (2 ^ 8 = 256)

31
Q

Pulse Code Modulation

A

Pulse Code Modulation
* The analog waveform is sampled at specific intervals and the
“snapshots” are converted to binary values
When the binary values are later converted to an analog
signal, a waveform similar to the original results
The more snapshots taken in the same amount of time, or
the more quantization levels, the better the resolution

31
Q

Delta Modulation

A

Delta Modulation
* An analog waveform is tracked, using a binary 1 to represent
a rise in voltage, and a 0 to represent a drop

31
Q

Pulse Code Modulation (continued)

A

Pulse Code Modulation (continued)
* How fast do you have to sample an input source to get a
fairly accurate representation?
* Nyquist says 2 times the highest frequency
* Thus, if you want to digitize voice (4000 Hz), you need to
sample at 8000 samples per second

32
Q

The Relationship Between Frequency
and Bits Per Second (continued)

A

The Relationship Between Frequency
and Bits Per Second (continued)
* Maximum Data Transfer Rates
– How do you calculate a maximum data rate?
– Use Shannon’s equation
* S(f) = f x log2
(1 + S/N)
– Where f = signal frequency (bandwidth), S is the signal power in
watts, and N is the noise power in watts
– For example, what is the data rate of a 3400 Hz signal with 0.2
watts of power and 0.0002 watts of noise?
* S(f) = 3400 x log2
(1 + 0.2/0.0002)
= 3400 x log2
(1001)
= 3400 x 9.97
= 33898 bps

32
Q

The Relationship Between Frequency
and Bits Per Second

A

The Relationship Between Frequency
and Bits Per Second
* Higher Data Transfer Rates
– How do you send data faster?
* Use a higher frequency signal (make sure the medium can handle the
higher frequency
* Use a higher number of signal levels
– In both cases, noise can be a problem

32
Q

Data and Signal Conversions In Action:

A

Data and Signal Conversions In Action:
Two Examples
* Let us transmit the message “Sam, what time is the
meeting with accounting? Hannah.”
* This message leaves Hannah’s workstation and travels
across a local area network

32
Q

Data codes and three common data codes

A

The set of all textual characters or symbols and their
corresponding binary patterns is called a data code
* There are three common data code sets:
– EBCDIC
– ASCII
– Unicode

32
Q

Unicode

A

Unicode
* Each character is 16 bits
* A large number of languages / character sets
* For example:
– T equals 0000 0000 0101 0100
– r equals 0000 0000 0111 0010
– a equals 0000 0000 0110 0001

33
Q
A
33
Q

After reading this chapter,
you should be able to:
• Distinguish between data and signals, and cite the
advantages of digital data and signals over analog data and
signals
• Identify the three basic components of a signal
• Discuss the bandwidth of a signal and how it relates to data
transfer speed
• Identify signal strength and attenuation, and how they are
related
2
After reading this chapter,
you should be able to (continued):
• Outline the basic characteristics of transmitting analog data
with analog signals, digital data with digital signals, digital
data with analog signals, and analog data with digital signals
• List and draw diagrams of the basic digital encoding
techniques, and explain the advantages and disadvantages
of each
• Identify the different shift keying (modulation) techniques,
and describe their advantages, disadvantages, and uses
3
After reading this chapter,
you should be able to (continued):
• Identify the two most common digitization techniques, and
describe their advantages and disadvantages
• Identify the different data codes and how they are used in
communication systems

A

After reading this chapter,
you should be able to:
• Distinguish between data and signals, and cite the
advantages of digital data and signals over analog data and
signals
• Identify the three basic components of a signal
• Discuss the bandwidth of a signal and how it relates to data
transfer speed
• Identify signal strength and attenuation, and how they are
related
2
After reading this chapter,
you should be able to (continued):
• Outline the basic characteristics of transmitting analog data
with analog signals, digital data with digital signals, digital
data with analog signals, and analog data with digital signals
• List and draw diagrams of the basic digital encoding
techniques, and explain the advantages and disadvantages
of each
• Identify the different shift keying (modulation) techniques,
and describe their advantages, disadvantages, and uses
3
After reading this chapter,
you should be able to (continued):
• Identify the two most common digitization techniques, and
describe their advantages and disadvantages
• Identify the different data codes and how they are used in
communication systems

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Q
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34
Q
A
34
Q
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35
Q
A