COMPUTER SIMULATION
HIGH-PERFORMANCE ANALYSIS METHOD AND MORPHOLOGICAL IMAGE PROCESSING
Volume 1, Issue №3, 2016
The article discusses the implementation of the algorithm of vHGW grayscale morphology with the use of OpenMP parallel programming technology and NVIDIA CUDA. Morphological operations have low arithmetic complexity, ...
MODELING N-DIMENSIONAL PROBABILITY DENSITY OF THE COSINE OF PHASE DIFFERENCE
Volume 1, Issue №3, 2016
The article proposes a model that allows to explore a multivariate probability density for random variables representing the cosine of phase difference with uniform distribution. The study demonstrates ...
RESEARCH OF SOME ALGORITHMS OF STEGANOGRAPHY
Volume 1, Issue №2, 2016
The paper discusses some steganographic methods based on the use of the frequency characteristics of the speech signal. In particular, the authors consider a widely used method of ...
MODELING THE DISCOVERY PROCESS OF THE REBIRTH OF THE FORMATION OF HIGH RESOLUTION SPACE IMAGE INTO THE TRANSFORMATION OF CONTRAST WITH DECONVOLUTION
Volume 1, Issue №2, 2016
In the work, on the basis of the practical observations of the approach to the interpretation of differences in improved resolution and contrast enhancement in the space image, the authors ...
APPLICATION OF THE «UFOMODELER» SOFTWARE SYSTEM IN THE SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS OF FIRST ORDER WITH SOME NUMERICAL METHODS
Volume 1, Issue №2, 2016
The study examined the process of iterative calculations of differential equation of first order in the form of successive stages on the basis of the UFOModeler software.
DEVELOPMENT OF METHODS FOR SOLVING THE TASKS OF THE CONTINIUM LINEAR PROGRAMMING USING LEGENDRE POLYNOMIALS
Volume 1, Issue №1, 2016
The article demonstrates the theoretical foundations of the mathematical apparatus − the continuum of linear programming. It demonstrates a technique for solving problems with the use of orthogonal systems of ...
NEW ARCHITECTURES AND ALGORITMS OF TRAINING THE ADAPTIVE RESONANCE THEORY TO NEURAL NETWORKS
Volume 1, Issue №1, 2016
The article analyzes the advantages and disadvantages of architectures and algorithms of training the Adaptive Resonance Theory (ART) to discrete neural networks. The authors propose some new architectures of ART ...
Previous
|
Page 2 of 2
