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Information Theory And Coding
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Entropy is basically a measure of:

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If a block code is to have a t-error correction capability then the minimum distance dmin of the code should be such that

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Channel capacity of Binary symmetric channel illustrated below is
Information Theory and Coding mcq question image

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Consider a binary transmission of bits 0 and 1 with equal probability. Bits are transmitted in a noisy channel and channel noise is additive in nature. The received signal is random in nature with conditional probability density function for each transmitted bit 0 and 1, respectively, as
fr/0(x) = 1 - |x||x| < 1
fr/0(x) = 1 - |x - 1| 0 < x < 2
What is the average probability of error if threshold in the decision device at the receiving end is 1?

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Channel capacity is equal to

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If a channel having bandwidth of 2 kHz and signal to noise ratio is zero dB. Maximum bit rate for this channel will be-

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The capacity of a band-limited additive white Gaussian noise (AWGN) channel is given by     bits per second (bps), where W is the channel bandwidth, P is the average power received and σ2 is the one-sided power spectral density of the AWGN.
For a fixed   the channel capacity (in kbps) with infinite bandwidth  is approximately

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Which one of the following is correct?

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For a fast communication which of the following requirements have to be met

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The entropy of a digital source is 2.7 bits/symbol. It is producing 100 different symbols per second. The source is likely to be which one of the following

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The minimum distance of a (n, k) = (7, 4) linear block code is upper bounded by:

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For a discrete memory less source containing K symbols, the upper bound for the entropy is

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Channel capacity is basically a measure of:

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What is the capacity of an additive white Gaussian noise channel with bandwidth of 1 MHz, power of 10 W and noise power spectral density of No/2 = 10(-9) W/Hz?

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A zero source generates two messages with probability 0.8 and 0.2. These are coded as 1 and 0.2. The code efficiency is

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For Gaussian and White channel noise, the capacity of a low-pass channel with a usable bandwidth of 3000 Hz and S/N = 103 at the channel output will be

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The entropy for a fair coin toss is exactly

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Given a channel with an intended capacity of 20 Mbits. The Bandwidth of this channel is 3 MHz. What is S/N ratio required in order to achieve this capacity?

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A 8 kHz communication channel has an SNR of 30 dB. It the channel bandwidth is doubled, keeping the signal power constant, the SNR for the modified channel will be

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Which of the following channel coding scheme helps in correcting burst errors?

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