Howtosignalprocessing
- What happens if bandwidth becomes infinite in a communication channel?
- What does the Shannon-Hartley theorem describe?
- Which one is the correct equation proposed by Shannon?
- What is Shannon theorem for channel capacity?
What happens if bandwidth becomes infinite in a communication channel?
You can easily see the fact that if you have infinite bandwidth B, then you could simultaneously transmit infinite different message signals mk(t) of each having a finite nonzero bitrate Rk (for example by just using a simple FDM scheme) the total of which would add up to inifnite bits per second at once which make ...
What does the Shannon-Hartley theorem describe?
The Shannon-Hartley theorem describes the theoretical best that can be done based on the amount of bandwidth efficiency: the more bandwidth used, the better the Eb/No that may be achieved for error-free demodulation. Or, equivalently stated: the more bandwidth efficient, there is a sacrifice in Eb/No.
Which one is the correct equation proposed by Shannon?
Shannon's formula C = 12log(1+P/N) is the emblematic expression for the information capacity of a communication channel.
What is Shannon theorem for channel capacity?
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.
