Howtosignalprocessing
The Shannon capacity theorem defines the maximum amount of information, or data capacity, which can be sent over any channel or medium (wireless, coax, twister pair, fiber etc.). What this says is that higher the signal-to-noise (SNR) ratio and more the channel bandwidth, the higher the possible data rate.
- What is Shannon capacity formula?
- What is Shannon theory?
- Which is the goal of Shannon theorem?
- What is the maximum channel capacity given by Shannon's limit?
What is Shannon capacity formula?
Shannon's formula C = 12log(1+P/N) is the emblematic expression for the information capacity of a communication channel.
What is Shannon theory?
The Shannon theorem states that given a noisy channel with channel capacity C and information transmitted at a rate R, then if. there exist codes that allow the probability of error at the receiver to be made arbitrarily small.
Which is the goal of Shannon theorem?
Shannon's theorem shows how to compute a channel capacity from a statistical description of a channel. Given a noisy channel capacity and information transmitted at entropy rate, if entropy rate exceeds the channel capacity, there were unavoidable and uncorrectable errors in the transmission.
What is the maximum channel capacity given by Shannon's limit?
Considering the Shannon limit around 6bit/s/Hz (or 0.75Tbit/s/nm) and the maximum 80nm bandwidth (achievable by C+L or Raman amplification) of a system, the achievable capacity over a transatlantic submarine cable will be around 60Tbit/s per fiber pair, that is not exceeding three times the state of the art technology ...
