Digital Communications System : Ideal Communication System

In summary, the conversation discusses the possibility of designing a system with infinite signal to noise ratio at the output, and the possibility of inventing a system with low bit error rate at the receiver in the presence of channel noise. It is concluded that while it is not possible to have infinite SNR with noise present, it is possible to decrease the bit error rate by increasing the total transmitted bits.
  • #1
naspek
181
0
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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  • #2
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.
 

1. What is a digital communications system?

A digital communications system is a method of transmitting information between two or more devices using digital signals. This allows for the efficient and accurate transfer of data, such as text, images, and audio, over long distances.

2. What makes a communication system "ideal"?

An ideal communication system is one that is free from any distortions or noise during transmission. This means that the original information can be perfectly reproduced at the receiving end without any loss of quality.

3. What are the components of an ideal digital communications system?

The main components of an ideal digital communications system include a transmitter, a channel, and a receiver. The transmitter encodes the information into digital signals, the channel carries the signals, and the receiver decodes the signals to reproduce the original information.

4. How does an ideal digital communications system achieve noise-free transmission?

An ideal digital communications system uses techniques such as error-correcting codes, signal processing algorithms, and equalization to minimize the effects of noise and distortion during transmission. This ensures that the original information is accurately received without any errors.

5. What are the applications of digital communications systems?

Digital communications systems are used in various applications, including telecommunications, internet, satellite communication, and wireless communication. They are also essential in industries such as banking, healthcare, and transportation for secure and efficient data transfer.

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