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8 votes
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Issues related to entropy

I will try to tackle questions 1 and 4. 1) Entropy- It is desired that the entropy of the system be maximized. Maximizing entropy means no symbol is better than the others or we do not know what t …
Jim Clay's user avatar
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6 votes
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What is the meaning of channel capacity?

1) Is there a connection between the modulation kind and the channel capacity? The capacity of a channel indicates the upper limit of how many bits can be transmitted per second over the channel …
Jim Clay's user avatar
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5 votes
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Does any error correction code still work in such situation?

I'm afraid that this will be an incomplete answer, but I'm giving it in the hopes that it is better than nothing. It is impossible to recover any information with a BER of 50% because, as information …
Jim Clay's user avatar
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5 votes

Meaning of channel capacity in the AWGN channel

There are two main factors when figuring out how many bits are transmitted per symbol (or "channel use"): the modulation and the error correction encoding. For instance, BPSK modulation with no encod …
Jim Clay's user avatar
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4 votes
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Difficulties in understanding mutual information concept

What does mutual information (MI) convey? It indicates that there is a relationship between the two signals- i.e. that they are not independent. It could be that they are correlated, but the rel …
Jim Clay's user avatar
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3 votes
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What is Shannon's source entropy

So,what exactly is Source entropy? When the paper talks about "source entropy" all they mean is the entropy of the information source. You can see that from the following passage in the paper- " …
Jim Clay's user avatar
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3 votes

Is there a proof that equal bandwidths have equal information-carrying capacity?

I'm not a mathematician so I won't pretend to claim that this is anything like a proof, but at an intuitive level I think that the fact that you can deterministically transform baseband to passband an …
Jim Clay's user avatar
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2 votes
Accepted

Relation between SER and the channel capacity

Yes, there is a relationship between SER and channel capacity. The channel capacity equation is- $$ C = B\log_2(1 + \frac{S}{N}) $$ where $C$ is the channel capacity in bits/s, $B$ is the bandwidth …
Jim Clay's user avatar
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