Designing a High Selective Filter based on the Fractal Distribution of Slabs with Positive and Negative Permittivity and Permeability Using HFSS

Research over the past years has focused on electromagnetic waves and meta-materials. These structures are designed to give electromagnetic properties that cannot be produced by traditional, well known natural structures. Meta-materials obtain their electromagnetic properties from their structures, not from their components. Meta-materials have new properties that define different mechanisms for electromagnetic wave propagation. These materials have been studied theoretically and have been used in many applications, especially microwaves and photonic fields. This research depends on these kinds of material, explains them, and analyzes the electromagnetic properties that yield from putting columns from these slabs with negative permittivity and permeability coefficient (MMs) in a fractal distribution of a natural medium. This research also compares the resulting properties with the electromagnetic properties that yield natural materials distributed the same way. We use the HFSS simulator which depends on the finite element method for calculating transmission and reflection coefficient for these structures.

Method of Automatic Artifacts Selection in Encephalography

An attempt is made to develop a method for automatic artifact selection in an electroencephalogram. Wavelet transform and artificial neural networks are combined with the analysis of statistical properties, based on the fractional dimension dynamics. Application of the method to experimental EEG signals showed that it can increase the reliability of artifacts selection.