MUDULARIZATION
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Transcript of MUDULARIZATION
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Encoding and Modulation
Baud ratePulse encoding (digital to digital)Modulation (digital to analog)Pulse code modulation
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CSE3318 slide 2 Module 5
Encoding
There are four types:Digital information, digital signalAnalog information, digital signalDigital information, analog signalAnalog information, analog signal
Modulation - data onto analog signalEncoding - data onto digital signal
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CSE3318 slide 3 Module 5
Encoding vs Modulation
Encoder
g(t)digital
oranalog
x(t)
digital
g(t)Decoder
(a) Encoding onto a digital signal
x(t)
t
Modulator
m(t)digital
oranalog
s(t)
analog
m(t)Demodulator
(a) Modulation onto an analog signal
S(f)
tfc
fc
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CSE3318 slide 4 Module 5
Digital Data, Digital Signals
Categories of this encoding are:Unipolar - one voltage level used.Polar - two voltage levels are use. Examples NRZ, NRZ-L, NRZ-I, RZ and Manchester encodingBipolar - ones are represented by alternating positive and negative voltages: examples include AMI, B8ZS, HDB3.
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CSE3318 slide 5 Module 5
Baud rate
Also known as Signalling rate or modulation rate.
Signal elements per second (baud).The rate at which signal elements are transmitted. bit rate = baud rate x M where M is the number of bits per signal elementfor two-level signalling (binary), bit rate is equal to the baud rate.
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CSE3318 slide 6 Module 5
Criteria for Digital Encoding Formats
Various techniques are compared in terms of the following:
Reduced bandwidth.Ease of synchronization.No zero frequency component (DC). Possible error detection.Reduced cost and complexity.Immunity to noise and interference.
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CSE3318 slide 7 Module 5
Unipolar
Binary 1 is encoded as a positive value; Binary 0 as zero voltage, or an idle line. Unipolar encoding is simple and primitive. The average amplitude of a unipolar signal is nonzero. This creates a DC component. Some transmission media cannot handle that. When a signal is not varying (e.g. long runs of 1s or 0s), the receiver cannot determine the beginning and ending of each bit.
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CSE3318 slide 8 Module 5
Non-return to zero (NRZ)
In NRZ-L, the level of signal depends on the type of bit it represents. A positive voltage represents binary 1, and a negative voltage represent binary 0. In NRZ-I, the transition between a positive and a negative voltage represents a 1 bit. A 0 bit is represented by no change. An advantage of NRZ-I over NRZ-L is that signal changes every time a 1 bit is transmitted, it enables synchronization.
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CSE3318 slide 9 Module 5
Manchester encoding
In Manchester encoding, the transition at the middle of the bit is used for both synchronization and bit representation.
Binary 0 = positive-to-negative transitionBinary 1 = negative-to-positive transition
In Differential Manchester encoding, the transition at the middle of the bit is used only for synchronization.
Always a transition in middle of interval.Binary 0 = transition at beginning of interval.Binary 1 = no transition at beginning of interval.
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CSE3318 slide 10 Module 5
Bipolar encoding
Bipolar encoding uses three voltage levels: positive, negative and zero.
Bipolar-AMI0 bit = no line signal1bit = positive or negative level, alternating for successive ones. This encoding achieves two things: first, the DC component is zero, and second, a long run of 1s stays synchronized.
Pseudoternary0 bit = positive or negative level, alternating for successive zeros1 bit = no line signal
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CSE3318 slide 11 Module 5
Digital Data, Analog Signals
Modem - to produce signals in the voice frequency range (300-3400Hz).Carrier signal is a sine wave.Modulation - to superimpose digital data on a carrier signal. One or more characteristics of carrier is changed
Amplitude, Frequency or Phase.
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CSE3318 slide 12 Module 5
Amplitude Shift Keying (ASK)
In ASK, the amplitude of the carrier signal is varied to represent binary 1 or 0. Two binary values are represented by two different amplitudes the carrier.
Binary 1 = Acos(2pi f_c t).Binary 0 = 0.Where f_c is the carrier frequency.
Inefficient and susceptible to noise. Optical fiber channels.
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CSE3318 slide 13 Module 5
Frequency-shift-keying (FSK)
In FSK, the frequency of the carrier signal is varied to represent binary 1 or 0. The two binary values are represented by two different frequencies.
Binary 1 = Acos(2 pi f_1 t).Binary 2 = Acos(2 pi f_2 t).
Full-duplex operation over voice grade lines.High-frequency operation.Used in some local area networks.
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CSE3318 slide 14 Module 5
Phase-shift-keying (PSK)
In ASK, the phase of the signal is varied to represent binary 1 or 0. The phase of the carrier signal is shifted to represent data. In the binary case:
Binary 1 = A cos(2 pi f_c t + pi).Binary 0 = Acos(2 pi f_c t).
4,8,16 levels of signalling possible.High efficiency.High speed modems.
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CSE3318 slide 15 Module 5
QPSK
4PSK; the phase of the carrier signal is shifted to represent data.
Binary 00 = A cos(2 pi f_c t ).Binary 01 = Acos(2 pi f_c t+pi/2)Binary 11 = Acos(2 pi f_c t+pi)Binary 10 = Acos(2 pi f_c t + 3pi/2)
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CSE3318 slide 16 Module 5
Quadrature amplitude modulation
In QAM, both the phase and amplitude of the carrier signal vary. QAM enables a higher data transmission than other modulation methods.
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CSE3318 slide 17 Module 5
Analog-to-digital encoding
This is called pulse code modulation (PCM). PCM involves sampling, quantizing each sample to a set number of bits, and then assigning voltage levels to the bits. The term sampling means measuring the signal at regular intervals.
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CSE3318 slide 18 Module 5
Pulse amplitude modulation (PAM)
The first step of PCM is called PAM. This method takes analog information, samples and generates a series of pulses based on the results of the sampling. According to the Nyquist theorem, the sampling rate must be at least two times the highest frequency.
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CSE3318 slide 19 Module 5
Voice Digitization
Normal voice signal bandwidth 4kHz. Sampling rate 8000/sec. 8 - bit encoding (256 levels)64 kbps - PCM signal
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CSE3318 slide 20 Module 5
PCM
Analogvoice signal
Sampling
PAM signal
Quantizerand compander
PCM signal
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CSE3318 slide 21 Module 5
Quantization
n-bit encoding, there are only 2^n - levelsSignal level x approximated by the nearest quantization level. SNR due to this noise is given by
SNR = 6n , approximately
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CSE3318 slide 22 Module 5
Companding
Lower amplitudes are more affected by the quantization noise. Uniform quantizing is not effectiveNon uniform quantizingMore gain to weak signals
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