Digital Communications System : Ideal Communication System

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SUMMARY

The discussion centers on the feasibility of designing an ideal communication system with infinite signal-to-noise ratio (SNR) and arbitrarily low bit error rate (BER). It is established that achieving infinite SNR is impossible due to the inherent presence of noise in the channel, as defined by the formula SNR = S/N. Conversely, it is possible to reduce the BER by increasing the total number of transmitted bits, although decreasing the number of errors is not always feasible, as indicated by the formula BER = number of errors / total transmitted bits.

PREREQUISITES
  • Understanding of signal-to-noise ratio (SNR)
  • Knowledge of bit error rate (BER) calculations
  • Familiarity with digital communication principles
  • Basic grasp of channel noise effects
NEXT STEPS
  • Explore advanced techniques for noise reduction in communication channels
  • Research error correction methods to improve BER
  • Study the impact of modulation schemes on SNR
  • Investigate Shannon's theorem regarding channel capacity
USEFUL FOR

Engineers, communication system designers, and students studying digital communications who seek to understand the limitations and possibilities of ideal communication systems.

naspek
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Hey there.. Got couple of questions that i hope u guys can help clarify my answer..

1)Is it possible to design system with infinite signal to noise ratio SNR at the output when the noise is introduced by the channel?

answer:No, because as long as there is noise at the channel. formula SNR = S/N

2)Is it possible to invent a system with arbitrarily low bit error rate (BER) at the receiver
in the presence of channel noise?

answer:Yes, by decreasing number of errors and increasing total transmitted bits.
formula BER = number of errors / total transmitted bits
 
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sounds right to me except the part about decreasing the number of errors, which is not always possible so you HAVE to increase the # of transmitted bits enough to make up for it.
 

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