Attaining maximum spectral efficiency using massive MIMO in a cell network system is promising method to expand the system. By means of arranging arrays antennas at base stations terms large number dynamic components and carry out processing coherent transceiver techniques are improving performance. General guideline that these frameworks ought have significant degree magnitudes N required cont...

In this paper a family of homogeneity–based observers is proposed to estimate the state class multiple–outputs linear systems with some parametric uncertainties and unknown inputs. Such possesses robustness, finite– fixed–time convergence properties depending on considered The structure these simple since requires neither additional observers, for an priori stabilization, nor complex transforma...

Regression and linear programming provide the basis for popular techniques for estimating technical efficiency. Regression-based approaches are typically parametric and can be both deterministic or stochastic where the later allows for measurement error. In contrast, linear programming models are nonparametric and allow multiple inputs and outputs. The purported disadvantage of the regression-b...

Computing 3D object descriptions from images is an important goal of computer vision. A key problem here is the evaluation of a hypothesis based on evidence that is uncertain. There have been few efforts on applying formal reasoning methods to this problem. In multiview and multimode object description problems, reasoning is required on evidence features extracted from multiple images and nonin...

Regression and linear programming provide the basis for popular techniques for estimating technical efficiency. Regression based approaches are typically parametric and can be both deterministic or stochastic where the later allows for measurement error. In contrast, linear programming models are nonparametric and allow multiple inputs and outputs. The purported disadvantage of the regression b...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

The problems of blind decorrelation and blind deconvolution have attracted considerable interest recently These two problems traditionally have been studied as two di erent subjects and a variety of algorithms have been proposed to solve them In this paper we consider these two problems jointly in the application of a multi sensor network and propose a new algorithm for them In our model the sy...

We compare two strategies for lossy source description across a pair of unreliable channels. In the first strategy, we use a broadcast channel code to achieve a different rate for each possible channel realization, and then use a multiresolution source code to describe the source at the resulting rates. In the second strategy, we use a channel coding strategy for two independent channels couple...