The maximum rate at which nearly error-free data can be theoretically transmitted over a communication channel is defined as

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BSPHCL JE Electrical 2019 Official Paper: Batch 2 (Held on 31 Jan 2019)
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  1. Modulation
  2. Signal to Noise Ratio
  3. Frequency Bandwidth
  4. Channel Capacity

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Option 4 : Channel Capacity
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Channel capacity:

  • Channel capacity is the maximum rate at which the data can be transmitted through a channel without errors.
  • The capacity of a channel can be increased by increasing channel bandwidth as well as by increasing signal to noise ratio.
  • Channel capacity (C) is given as,

          \(C=B \log_2(1+\frac{S}{N})\) 

Where,

B: Bandwidth

S/N: Signal to noise ratio

Additional Information

Entropy:

The entropy of a probability distribution is the average or the amount of information when drawing from a probability distribution.

It is calculated as:

\(H(x)=\underset{i=1}{\overset{n}{\mathop \sum }}\,{{p}_{i}}{{\log }_{2}}\left( \frac{1}{{{p}_{i}}} \right)bits/symbol\)

pi is the probability of the occurrence of a symbol.

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