Howtosignalprocessing
- What does the Shannon theorem have to do with communications?
- What does the Shanon capacity have to do with communications?
- What does the Shannon capacity and Nyquist theorem have to do with communication?
- What are the implications of Shannon Hartley Theorem?
What does the Shannon theorem have to do with communications?
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 does the Shanon capacity have to do with communications?
The Shannon limit or Shannon capacity of a communication channel refers to the maximum rate of error-free data that can theoretically be transferred over the channel if the link is subject to random data transmission errors, for a particular noise level.
What does the Shannon capacity and Nyquist theorem have to do with communication?
Data Communication Concepts
Some factors can limit the maximum transmission rate of a transmission system. Nyquist's theorem specifies the maximum data rate for noiseless condition, whereas the Shannon theorem specifies the maximum data rate under a noise condition.
What are the implications of Shannon Hartley Theorem?
Implications of the theorem
The square root effectively converts the power ratio back to a voltage ratio, so the number of levels is approximately proportional to the ratio of signal RMS amplitude to noise standard deviation.
