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1
Consider the entropy of a random variable X is 16 bits and for each value of X, a deterministic function Y(X) produces a diverse value. Then the entropy of Y is . . . . . . . . bits.
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Answer: Option B
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2
The Hartley shannon theorem sets a limit on the
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Answer: Option B
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3
Information content of a message with probability P is defined by the equation
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Answer: Option A
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4
A given source will have maximum entropy if all the massage produced are
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Answer: Option B
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5
Significance of channel coding theorem due to Shannon lies in the fact that
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Answer: Option A
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6
If the BW of 8 KHz white bandlimited Gaussian SNR is 25 dB the channel capacity is:
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Answer: Option C
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7
In order to permit the selection of 1 out of 16 equiprobable events, what is the number of bits required?
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Answer: Option B
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8
By properly coding and grouping longer sequence, it is possible to
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Answer: Option A
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9
The channel capacity is
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Answer: Option A
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10
A binary symmetric channel (BSC) has a transition probability of $$\frac{1}{8}.$$ If the binary transmit symbol X is such that $${{\text{P}}_{\left( {{\text{X}} = {\text{0}}} \right)}} = \frac{9}{{10}},$$   then the probability of error for an optimum receiver will be
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Answer: Option D
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