The article proves that the creation of a mechanism for ensuring stability in implementation innovative strategies, according to authors, should be based on use such systemic characteristic enterprise as risk resistance, which depends special disturbing influences caused by high level environmental instability and specificity cyclical innovation processes; context or situation management, it ch...

Evolution, broadly construed, has become a powerful unifying concept in much of science – not only in the biological evolution of plants and animals, but also in the physical evolution of stars and planets, and the cultural evolution of society and its many varied products. This paper (1) explores the bulk structure and functioning of open, non-equilibrium, thermodynamic systems relevant to the...

This paper presents a conceptual model developed by human-communication researchers that provides a description of human cultural and cognitive processes. The processes are at once useful, informative, quantitative, and compatible with the emerging thermodynamic models of nonequilibrium processes. It uses empirical results of a survey on Korean immigrants in Hawaii to illustrate a mathematica...

Markov or a maximum entropy random field model for a prior distribution may be viewed as a minimizer of a variational problem. Using notions from robust statistics, a variational filter referred to as a Huber gradient descent flow is proposed. It is a result of optimizing a Huber functional subject to some noise constraints and takes a hybrid form of a total variation diffusion for large gradie...

Abstract: In a previous investigation (Bigerelle and Iost, 2004), the authors have proposed a physical interpretation of the instability λ = ∆t/∆x2 > 1/2 of the parabolic partial differential equations when solved by finite differences. However, our results were obtained using integration techniques based on erf functions meaning that no statistical fluctuation was introduced in the mathematica...

Microarray technologies represent a powerful tool in biological research, but in order to attain their full potentialities, it is crucial to develop techniques to effectively exploit the huge quantity of data produced. We propose an innovative tool specifically tailored to perform preprocessing, visualization and clustering on this type of data. The improvements with respect to more traditional...

1 Abstract The random matrix ensembles (RMT) of quantum statistical Hamiltonian operators, e.g.Gaussian random matrix ensembles (GRME) and Ginibre random matrix ensembles (Ginibre RME), are applied to following quantum statistical systems: nuclear systems, molecular systems, and two-dimensional electron systems (Wigner-Dyson's electrostatic analogy). The Ginibre ensemble of nonhermitean random ...

The paper deals with robust direction of arrival (DOA) estimation based on independent component analysis (ICA) in the presence of sensor gain perturbation and unknown noise fields. It has been shown that the noise subspace based estimator suffers from the drawback of being very sensitivity to orthogonality between the estimated noise subspace and true signal subspace. However, no single subspa...

Blind Signal Separation (BSS) refers to the operation of recovering a set of sources that are as independent as possible from another set of observed linear or non-linear mixtures. The term blind indicates that this operation is done without knowing the mixing coefficients. Although this problem is more difficult than the classical filtering problem, a solution is still feasible provided that s...

This paper presents a new microphone-array post-filtering algorithm for distant speech recognition (DSR). Conventionally, post-filtering methods assume static noise field models, and using this assumption, employ a Wiener filter mechanism for estimating the noise parameters. In contrast to this, we show how we can build the Wiener post-filter based on actual noise observations without any noise...