sampling theorem is used to know about sample signal.
sam. theorm
The Central Limit THeorem say that the sampling distribution of .. is ... It would help if you read your question before posting it.
the central limit theorem
Thanks to the Central Limit Theorem, the sampling distribution of the mean is Gaussian (normal) whose mean is the population mean and whose standard deviation is the sample standard error.
Theorem
sampling theorem is defined as , the sampling frequency should be greater than or equal to 2*maximum frequency, and the frequency should be bounded.. i,e fs=2*fmax where fs= sampling frequency
sam. theorm
The Central Limit THeorem say that the sampling distribution of .. is ... It would help if you read your question before posting it.
I cannot see where the Nyquist theorem relates to cables, fiber or not.The theorem I know, the Nyquist-Shannon sampling theorem, talks about the limitations in sampling a continuous (analog) signal at discrete intervals to turn it into digital form.An optical fiber or other cable merely transport bits, there is no analog/digital conversion and no sampling taking place.
A theorem is a statement that is proved by deductive logic.
That is a theorem.A theorem.
No, a theorem cannot have a counterexample, as a theorem is a statement that has been proven to be true under a specific set of conditions. A counterexample, on the other hand, demonstrates that a statement or conjecture is false by providing an instance where the statement does not hold. If a counterexample exists, the statement is not a theorem.
No. A corollary is a statement that can be easily proved using a theorem.
A corollary is a statement that can easily be proved using a theorem.
No. A corollary is a statement that can be easily proved using a theorem.
A corollary.
sampling is a one type of process use for converting into analog signal to digital signal.