Experimentation on generating two-dimensional quasi-random sequences

Finite Dimensional Generating Spaces of Quasi-Norm Family

In this paper,~some results on finite dimensional generating spaces of quasi-norm family are established.~The idea of equivalent quasi-norm families is introduced.~Riesz lemma is established in this space.~Finally,~we re-define B-S fuzzy norm and prove that it induces a generating space of quasi-norm family.

finite dimensional generating spaces of quasi-norm family

in this paper,~some results on finite dimensional generating spaces of quasi-norm family are established.~the idea of equivalent quasi-norm families is introduced.~riesz lemma is established in this space.~finally,~we re-define b-s fuzzy norm and prove that it induces a generating space of quasi-norm family.

Generating Random Sequences from Fingerprints

Biometrics are traditionally employed in user authentication and authorization mechanisms. The vast majority of research effort focuses on applications of biometrics in authentication, aiming to replace passwords as the access control mechanism for cryptographic keys in one way or another. However, the inherent variability in biometrics presents a readily available source of randomness, which, ...

Generating Quasi-Random Paths for Stochastic Processes

The need to numerically simulate stochastic processes arises in many elds. Frequently this is done by discretizing the process into small time steps and applying pseudo-random sequences to simulate the randomness. This paper address the question of how to use quasi-Monte Carlo methods to improve this simulation. Special techniques must be applied to avoid the problem of high dimensionality whic...

Quasi - Experimentation