Article Nyquist Shannon Sampling Theorem

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Nyquist–Shannon sampling theorem - The Nyquist–Shannon sampling theorem is a fundamental theorem in the field of information theory, in particular telecommunications. In addition to Claude Shannon and Harry Nyquist, it is also attributed to Whittaker and Kotelnikov, and sometimes simply referred to as the sampling theorem.

Nyquist frequency - The Nyquist frequency, named after the Nyquist-Shannon sampling theorem, is half the sampling frequency for a signal.

Anti-aliasing filter - An anti-aliasing filter is commonly used in conjuction with digital signal processing and is a filter to restrict the bandwidth to approximately satisfy the Shannon-Nyquist sampling theorem.

Shannon's noiseless coding theorem - In information theory, Shannon's noiseless coding theorem places an upper and a lower bound on the minimal possible expected length of codewords as a function of the entropy of the input word (which is viewed as a random variable) and of the size of the target alphabet.


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