mcgraw-hill©the mcgraw-hill companies, inc., 2001 data transmission techniques data to be...
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McGraw-Hill ©The McGraw-Hill Companies, Inc., 2001
Data Transmission Techniques• Data to be transmitted is of two types
1. Analog data
2. Digital data
Therefore, the data transmission is categorized into two types : 1. Analog Transmission
2. Digital Transmission
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Analog Transmission• Analog (or analogue) transmission is a transmission method of
conveying voice, data, image, signal or video information using a continuous signal which varies in amplitude, phase, or some other property in proportion to that of a variable. It could be the transfer of an analog source signal, using an analog modulation method such as frequency modulation (FM) or amplitude modulation (AM), or no modulation at all.
• Another method is of analog transmission is known as passband data transmission using a digital modulation methods such as ASK, PSK and QAM, i.e. a sine wave modulated by a digital bit-stream, as analog transmission and as an analog signal.
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Digital Transmission• Data transmission, digital transmission, or
digital communications is the physical transfer of data (a digital bit stream or a digitized analog signal[1]) over a point-to-point or point-to-multipoint communication channel. Examples of such channels are copper wires, optical fibers, wireless communication channels, storage media and computer buses. The data are represented as an electromagnetic signal, such as an electrical voltage, radiowave, microwave, or infrared signal.
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• While analog transmission is the transfer of a continuously varying analog signal over an analog channel, digital communications is the transfer of discrete messages over a digital or an analog channel. The messages are either represented by a sequence of pulses by means of a line code (baseband transmission), or by a limited set of continuously varying wave forms (passband transmission), using a digital modulation method.
• Data transmitted may be digital messages originating from a data source, for example a computer or a keyboard. It may also be an analog signal such as a phone call or a video signal, digitized into a bit-stream for example using pulse-code modulation (PCM) or more advanced source coding (analog-to-digital conversion and data compression) schemes. This source coding and decoding is carried out by codec equipment.
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Figure 5-1
Data Transmission Conversion/Modulation Schemes
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Figure 5-2
Digital to Digital Encoding
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A baseband signal ("digital-over-digital" transmission): A sequence of electrical pulses or light pulses produced by means of a line coding scheme such as Manchester coding. This is typically used in serial cables, wired local area networks such as Ethernet, and in optical fiber communication. It results in a pulse amplitude modulated(PAM) signal, also known as a pulse train.
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Figure 5-3
Types of Digital to Digital Encoding
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Analog to Digital Encoding
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• Pulse Amplitude Modulation (PAM)
• Pulse Code Modulation (PCM)– Sampling (means measuring the amplitude of the
signal at an equal interval)– Sampling rate
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Figure 5-16
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PAM
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Figure 5-17
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Quantized PAM Signal
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Figure 5-18
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Quantizing Using Sign and Magnitude
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Steps in PCM
There are four steps used in PCM
1. PAM
2. Quantization
3. Binary Encoding
4. Digital to Digital encoding
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Figure 5-19
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PCM
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Figure 5-20
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From Analog to PCM
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Figure 5-20-continued
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From Analog to PCM
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Figure 5-20-continued
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From Analog to PCM
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Figure 5-20-continued
From Analog to PCM
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Animation of PAM
• http://www.mhhe.com/engcs/compsci/forouzan/dcn/graphics/animations/05_20.swf
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Nyquist Theorem
• The Nyquist Theorem, also known as the sampling theorem, is a principle that is used in the digitization of analog signals. It is done by dividing the signals into the slices called as samples
• These samples are taken frequently.
• The number of samples taken per second is called the sampling rate or sampling frequency.
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• Suppose the highest frequency component, in hertz, for a given analog signal is fmax.
• According to the Nyquist Theorem, the sampling rate must be at least 2fmax, or twice the highest analog frequency component.
• The sampling in an analog-to-digital converter is actuated by a pulse generator (clock). If the sampling rate is less than 2fmax, some of the highest frequency components in the analog input signal will not be correctly represented in the digitized output.
• When such a digital signal is converted back to analog form by a digital-to-analog converter, false frequency components appear that were not in the original analog signal. This undesirable condition is a form of distortion called as aliasing.
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Figure 5-21
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Nyquist Theorem
• Example 5.3 : What sampling rate is needed for the signal with a bandwidth of 10,000 Hz ( 1,000 to 11,000 hz) ?
• SOLUTION : The sampling rate must be twice the highest frequency in the signal:
Sampling rate = 2(11,000)
= 22,000 samples/ seconds.
EXAMPLE 5.4 : A signal is sampled. Each sample requires at least 12 levels of precision ( +0 to +5 and -0 to -5). How many bits should be sent
for each sample?
SOLUTION : We need four bits ;one bit for the sign and three bits for the value. A three-bit value can represent 23 = 8 levels ( 000 to 111), which is more than what we need. A two – bit value is not enough since 22=4. A four –bit value is too much
because 24 = 16.
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EXAMPLE : We want to digitize the human voice. What is the bit rate assuming eight bits per
sample?
SOLUTION: The humans voice normally contains frequencies from 0 to 4000 Hz. So the sampling rate
is
Sampling rate = 4000 x 2 = 8000 samples/ seconds
The bit rate can be calculated as :
Bit rate= sampling rate x Number of bits per sample = 8000 x 8 = 64,000 bits/s = 64 kbps
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Digital To Analog Conversion• A passband signal ("digital-over-analog" transmission):
A modulated sine wave signal representing a digital bit-stream. Note that this is in some textbooks considered as analog transmission, but in most books as digital transmission. The signal is produced by means of a digital modulation method such as PSK, QAM or FSK. The modulation and demodulation is carried out by modem equipment. This is used in wireless communication, and over telephone network local-loop and cable-TV networks.
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Figure 5-22
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Digital to Analog Encoding
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Figure 5-23
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Figure 5-24
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ASK
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Figure 5-25
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Bandwidth for ASK
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FSKFigure 5-27
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Bandwidth for FSKFigure 5-28
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PSKFigure 5-29
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PSKConstellation
Figure 5-30
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4-PSKFigure 5-31
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4-PSKCharacteristics
Figure 5-32
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8-PSKCharacteristics
Figure 5-33
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PSKBandwidth
Figure 5-34
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4-QAM and 8-QAMConstellations
Figure 5-35
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8-QAM SignalFigure 5-36
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16-QAMConstellation
Figure 5-37
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Bit Rate and Baud Rate
Figure 5-38
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Figure 5-38-continued
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Bit Rate and Baud Rate
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Analog To Analog Transmission
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Figure 5-39
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Analog to Analog Modulation
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Figure 5-40
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Figure 5-41
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Amplitude Modulation
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Figure 5-42
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AM Bandwidth
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Figure 5-43
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AM Band Allocation
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Figure 5-44
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Frequency Modulation
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Figure 5-45
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FM Bandwidth
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Figure 5-46
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FM Band Allocation
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Digital To Analog
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Analog To Analog