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Information Theory And Coding
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Q201

Open question

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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Q202

Open question

The Hartley shannon theorem sets a limit on the

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Q203

Open question

Information content of a message with probability P is defined by the equation

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Q204

Open question

A given source will have maximum entropy if all the massage produced are

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Q205

Open question

Significance of channel coding theorem due to Shannon lies in the fact that

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Q206

Open question

If the BW of 8 KHz white bandlimited Gaussian SNR is 25 dB the channel capacity is:

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Q207

Open question

In order to permit the selection of 1 out of 16 equiprobable events, what is the number of bits required?

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Q208

Open question

By properly coding and grouping longer sequence, it is possible to

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Q209

Open question

The channel capacity is

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Q210

Open question

A binary symmetric channel (BSC) has a transition probability of

\frac{1}{8} .

If the binary transmit symbol X is such that

P_{(X = 0)} = \frac{9}{10},

then the probability of error for an optimum receiver will be

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Q211

Open question

The rate at which information can be carried through a communication channel depends on

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Q212

Open question

A linear Hamming code is used to map 4-bit messages to 7-bit codewords. The encoder mapping is linear. If the message 0001 is mapped to the codeword 0000111, and the message 0011 is mapped to the codeword 1100110, then the message 0010 is mapped to

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Q213

Open question

There are M equally likely and independent message and M = 2^N, the information in each message is equal to

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Q214

Open question

A channel has a signal-to-noise ratio of 63 and bandwidth of 1200 Hz. The maximum data rate that can be sent through the channel with arbitrary low probability of error is

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Q215

Open question

Shannon's channel capacity formula is applicable to the AWGN channel and is given by

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Q216

Open question

According to Shannon Hartley theorem

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Q217

Open question

A communication channel disturbed by Gaussian noise has a bandwidth of 6 kHz and S/N ratio of 15. The maximum transmission rate that such a channel can support is

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Q218

Open question

A channel of 3000 Hz bandwidth with a signal to thermal noise ratio of 30 dB. The maximum number of bits per second the channel can transmit without error will be:

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Q219

Open question

Relation between Code rate(r), information bits (k) and total bits (n) is

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Q220

Open question

An event has 4 possible outcomes with probabilities

\frac{1}{2}, \frac{1}{4}, \frac{1}{8}, \frac{1}{16} .

What will be the rate of information if there are approximately 24 outcomes/second possible?

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Information Theory And Codingpractice.

Information Theory And Coding
practice.