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Nonuniform sampling is a branch of sampling theory involving results related to the Nyquist–Shannon sampling theorem. Nonuniform sampling is based on Lagrange interpolation and the relationship between itself and the (uniform) sampling theorem. Nonuniform sampling is a generalisation of the Whittaker–Shannon–Kotelnikov (WSK) sampling theorem.
The term Nyquist Sampling Theorem (capitalized thus) appeared as early as 1959 in a book from his former employer, Bell Labs, [22] and appeared again in 1963, [23] and not capitalized in 1965. [24] It had been called the Shannon Sampling Theorem as early as 1954, [25] but also just the sampling theorem by several other books in the early 1950s.
Pentominoes and polyominoes: five games and a sampling of problems 1965 Nov: A selection of elementary word and number problems 1965 Dec: Magic stars, graphs and polyhedrons 1966 Jan: Dr. Matrix returns, now in the guise of a neo-Freudian psychonumeranalyst 1966 Feb: Recreational numismatics, or a purse of coin puzzles 1966 Mar
Now consider a random walk X that starts at 0 and stops if it reaches –m or +m, and use the Y n = X n 2 – n martingale from the examples section. If τ is the time at which X first reaches ±m, then 0 = E[Y 0] = E[Y τ] = m 2 – E[τ]. This gives E[τ] = m 2. Care must be taken, however, to ensure that one of the conditions of the theorem ...
The sampling theorem states that sampling frequency would have to be greater than 200 Hz. Sampling at four times that rate requires a sampling frequency of 800 Hz. This gives the anti-aliasing filter a transition band of 300 Hz ((f s /2) − B = (800 Hz/2) − 100 Hz = 300 Hz) instead of 0 Hz if the sampling frequency was 200 Hz. Achieving an ...
As with the Nyquist–Shannon sampling theorem, this theorem also assumes an idealization of any real-world situation, as it only applies to functions that are sampled over an infinitude of points. Perfect reconstruction is mathematically possible for the idealized model but only an approximation for real-world functions and sampling techniques ...