Question

3. a) An important problem in communications is the efficient representation of data generated by a discrete source. Table Q3(a) shows a set of symbols with their respective probabilities. Table Q3(a) Symbol So S1 S2 S3 S4 S5 S6 Probability 0.0625 0.25 0.125 0.0625 0.125 0.25 0.125 The symbols are encoded using Shannon-Fano coding. Analyse the set of symbols to identify the respective binary code for each symbol in the table. b) Calculate the code efficiency and entropy of the second-order extension of the source based on the binary code obtained in Q3(a). c) Alphanumeric data are entered into a computer from a remote terminal through a voice-grade telephone channel. The channel has a bandwidth of 3.4kHz and output signal to noise ratio of 27.09 dB. The terminal has a total of 256 symbols. Assume that the symbols are equiprobable and the successive transmissions are statistically independent. Calculate the maximum symbol rate (baud rate) for which error -free transmission over the channel is possible. d) State two advantages and one disadvantage of digital transmission over analog transmission

          3.
a) An important problem in communications is the efficient representation of data
generated by a discrete source. Table Q3(a) shows a set of symbols with their
respective probabilities.
Table Q3(a)
Symbol	So	S1	S2	S3	S4	S5	S6
Probability	0.0625	0.25	0.125	0.0625	0.125	0.25	0.125
The symbols are encoded using Shannon-Fano coding. Analyse the set of
symbols to identify the respective binary code for each symbol in the table.
b) Calculate the code efficiency and entropy of the second-order extension of the
source based on the binary code obtained in Q3(a).
c) Alphanumeric data are entered into a computer from a remote terminal through
a voice-grade telephone channel. The channel has a bandwidth of 3.4kHz and
output signal to noise ratio of 27.09 dB. The terminal has a total of 256 symbols.
Assume that the symbols are equiprobable and the successive transmissions are
statistically independent. Calculate the maximum symbol rate (baud rate) for
which error -free transmission over the channel is possible.
d) State two advantages and one disadvantage of digital transmission over analog
transmission

3.
a) An important problem in communications is the efficient representation of data
generated by a discrete source. Table Q3(a) shows a set of symbols with their
respective probabilities.
Table Q3(a)
Symbol So S1 S2 S3 S4 S5 S6
Probability 0.0625 0.25 0.125 0.0625 0.125 0.25 0.125
The symbols are encoded using Shannon-Fano coding. Analyse the set of
symbols to identify the respective binary code for each symbol in the table.
b) Calculate the code efficiency and entropy of the second-order extension of the
source based on the binary code obtained in Q3(a).
c) Alphanumeric data are entered into a computer from a remote terminal through
a voice-grade telephone channel. The channel has a bandwidth of 3.4kHz and
output signal to noise ratio of 27.09 dB. The terminal has a total of 256 symbols.
Assume that the symbols are equiprobable and the successive transmissions are
statistically independent. Calculate the maximum symbol rate (baud rate) for
which error -free transmission over the channel is possible.
d) State two advantages and one disadvantage of digital transmission over analog
transmission

Added by Theresa D.

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