In this contribution, a hybrid space/spectral domain integral equation approach is presented for the characterization of quasi-3D structures in multilayered media. The verti- cal conductors for the quasi-3D components like vias, through holes, airbridges, flnite dielectric regions etc. can cross an arbitrary number of dielectric layers with arbitrary vertical discretiza- tion. The electrodynamic behavior of the vertical currents is incorporated by extended spectral domain Green's functions derived by analytical integrations over the vertical direction and by a summation over the Cartesian wavenumbers which must be computed only once and stored in a database. For short lateral distances, the couplings are computed with a subtraction tech- nique based on asymptotic representations of the extended Green's functions, whereas for larger distances and for group coupling computations in context with fast matrix vector product evalu- ations, adaptive integration path deformations with extended Laguerre quadrature methods are applied. For the solution of the linear systems of equations, a GMRES solver was implemented together with a diakoptic preconditioner based on the group decomposition of larger structures, combined with a reversed Cuthill McKee reordering applied to the submatrix pattern of the system matrix. With all these techniques, the analysis of complex quasi-3D structures can be carried out with the same performance than pure planar microstrip and/or slotline structures.

A new sensitive measurement method for the human micro-vibration (MV) is presented using a pico-Tesla resolution magneto-impedance sensor (pT-MI sensor). Various MV such as for the spinal-cord, the heart beat and following blood flow pulsation, and muscle tremors are stably detected by touching the skin position directly or indirectly via any solid transmission media to the sensor head which is dynamically rotated with more than 1.8 micro angular degree in the geomagnetic field. A blood flow promotion effect is detected using the MV sensing at the shoulder and the back of subjects after application of 6 Hz, 1μT pulse magnetic field in 10 min.

This paper presents a robust radial basis function (RBF) network based classifier for polarimetric synthetic aperture radar (SAR) images. The proposed feature extraction process utilizes the covariance matrix, the gray level co-occurrence matrix (GLCM) based texture features, and the backscattering power (Span) combined with the H/α/A decomposition, which are projected onto a lower dimensional feature space using principal component analysis. For the classifier training two popular techniques are explored: conventional backpropagation (BP) and particle swarm optimization (PSO). By using both polarimetric covariance matrix and decomposition based pixel values and textural information (contrast, correlation, energy, and homogeneity) in the feature set, classification accuracy is improved. An experimental study is performed using the fully polarimetric San Francisco Bay and Flevoland data sets acquired by the NASA/Jet Propulsion Laboratory Airborne SAR (AIRSAR) at L-band to evaluate the performance of the proposed classifier. Classification results (in terms of confusion matrix, overall accuracy and classification map) compared with competing state of the art algorithms demonstrate the effectiveness of the proposed RBF network classifier.

A Class F power amplifier (PA) at 2.5GHz has been designed and fabricated. Test results show 15.7dB gain with 75.75% power added efficiency ( PAE), at an input level of 25dBm. The design procedure is presented, with various issues illustrated and addressed. A new method is proposed to obtain the optimum load and source impedances without iterations, which would usually be necessary.

Wireless personal communication is a rapidly expanding sector, particularly in the field of wireless local area networks. In an indoor wireless network system, an user can be close to the radiating antenna. Therefore, it is important to consider possible health hazards due to this type of exposure. This paper presents an approach to estimate and evaluate the main characteristics, i.e., Specific Absorption Rate and temperature rise, related to human exposure to electromagnetic field radiated by common wireless devices such as Wireless Access Points or Hot-Spot. The assessment is done numerically using two different approaches, respectively Ray-Tracing model and Finite Element Method. The general goal is to provide an efficient and sufficiently accurate method to assess human head exposure to electromagnetic fields at a frequency of 2.45 [GHz] and for different types of exposure conditions.

Having established in previous articles that the principle of the constancy of speed of light of Special Relativity Theory is false in general, we examine some consequences of the non-constancy of speed of light in vacuum for different Galilean reference systems. We consider the modified Lorentz transformation incorporating different speeds of light for different inertial frames and which is a result of the non-constancy of speed of light in vacuum for different Galilean reference systems, i.e., reference systems in uniform rectilinear motion with respect to each other. Some consequences of this transform including the limit speed concept, transformation of lengths, summation and transformation of velocities are considered. Results of the transformation of the electromagnetic field are given. Also discussed are some consequences of the relativity of the electromagnetic field, all under the modified Lorentz transformation. These include variance of the electric charge, transformation of the potentials, transformation of the force. Some of the highlights of these consequences are as follows. The transformation of lengths abide by the same rule as in Special Relativity Theory, at least in form. Transformation of time intervals and velocities now involve the speeds of light in vacuum for both inertial frames in distinction from Special Relativity Theory. The invariance of charge no longer applies and charge measured depends on the reference frame the measurement is made from. Force acting on a charge q in an external electromagnetic field has the same form as in Special Relativity Theory, but now because charge is no longer invariant, the force transformation also has to be modified accordingly.

By using a tensor method, spectral changes of a focused electromagnetic Gaussian Schell-model (EGSM) beam with twist phase. Our results show that the spectral shift of twisted EGSM beam is closely related to the degree of polarization, twist phase and correlation coe-cients of the initial beam.

Kirsch's factorization method is a fast inversion technique for visualizing the proflle of a scatterer from measurements of the far-fleld pattern. The mathematical basis of this method is given by the far-fleld equation, which is a Fredholm integral equation of the flrst kind in which the data function is a known analytic function and the integral kernel is the measured (and therefore noisy) far fleld pattern. We present a Tikhonov parameter choice approach based on a fast flxed point iteration method which constructs a regularization parameter associated with the corner of the L-curve in log-log scale. The performance of the method is evaluated by comparing our reconstructions with those obtained via the L-curve and we conclude that our method yields reliable reconstructions at a lower computational cost than the L-curve.

The method of lines (MoL) has been used to analyze the characteristics of various structures of coplanar waveguide widely. However, a large number of literatures do not study the efiects of the ground-plane width on the propagation characteristics, especially characteristic impedance. In this paper, the characteristics (efiective dielectric constant and especially char- acteristic impedance) of shielding coplanar waveguide with flnite ground-planes are analyzed by MoL and the computation results are shown.