pseudo-random numbers


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Related to pseudo-random numbers: Random and Pseudorandom Numbers

pseudo-random numbers

A set of values or elements that is statistically random, but it is derived from a known starting point and is typically repeated over and over. Pseudo-random numbers provide necessary values for processes that require randomness, such as creating test signals or for synchronizing sending and receiving devices in a spread spectrum transmission. It is called "pseudo" random, because the algorithm can repeat the sequence, and the numbers are thus not entirely random. See CDMA and PN sequence.
References in periodicals archive ?
A small deviation in the initial conditions should cause a large modification in the output, that makes chaotic systems very attractive for pseudo-random number generation.
The second defect here is that as the documentation states, the returned pseudo-random number is "greater than or equal to mm Value and less than max Value", so this code actually produces a random number between one and five!
where the rotation matrix [C.sub.j] was calculated as in (6), h is a standard deviation of angular noise, and [[[xi].sub.j], [[omega].sub.j], [[eta].sub.j] are pseudo-random numbers obtained by the standard Gaussian generator (with zero mean and standard deviation equal to one).
--the generated sequence of pseudo-random numbers is by the large period (up to [2.sup.255]), due to the "tap" sequence from the linear feedback shift register that has the structure of an irreducible polynomial in [Z.sub.2].
Therefore, it is necessary that, when testing a problem, one try a number of scenarios (i.e., sets of parameters such as age and spending amount) and of batches (i.e., repeating the same simulation over and over with different realizations of the pseudo-random numbers).
So-called random number keys generated by computer are produced by an algorithm and are only pseudo-random numbers. By altering your algorithm, an intruder might limit the number of keys generated to a nonrandom number series easily crackable by the intruder.
A sequence of five pseudo-random numbers was generated for each of three different cases of SEED use.
The experimental quantities were replaced by a subset of the spindle unit design variables (as generated using a generator of pseudo-random numbers with an equal probability distribution) and that of the results of calculations performed for the cases of matching the above variables (Wolny, 1992).
The experimental quantities were replaced by a set of the spindle assembly design variables (as generated using a generator of pseudo-random numbers with an equal probability distribution) and that of the results of calculations performed for the cases of matching the above variables (Wolny, 1992).
The use of cebyse mixing to generate pseudo-random numbers. J.
Key-dependent property involves using pseudo-random numbers. Throughout this paper, pseudo-random numbers are generated depending on a secret key, which is stored for the watermarking extractor.

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