A printed open-ended slot antenna is designed for mobile phone application. The slot has a hybrid structure of a rectangle and a circle cut out of a 60mm×115mm ground plane, and fed by a microstrip line with a circular patch connected to a bent strip on the upper part of the patch. The proposed antenna provides a wide -6dB bandwidth covering 1.73-11GHz. It can be used in DCS1800, PCS1900, UMTS2000, TD-SCDMA, Bluetooth, LTE2.5GHz, WiMax, and UWB

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The mode matching method is applied to analyze generalized ridged waveguides. The tangential fields in each region are expressed in terms of the product of several matrices, i.e., a functional matrix about x-F(x), a functional matrix about y-G(y) and a column vector of amplitudes. The boundary conditions are transformed into a set of linear equations by taking the inner products of each element of G(y) with weight functions. Two types of ridged waveguide are calculated to validate the theory. Several new modes not reported in previous analysis are presented.

The mode matching method is applied to analyze generalized ridged waveguides. The tangential fields in each region are expressed in terms of the product of several matrices, i.e., a functional matrix about x-F(x), a functional matrix about y-G(y) and a column vector of amplitudes. The boundary conditions are transformed into a set of linear equations by taking the inner products of each element of G(y) with weight functions. Two types of ridged waveguide are calculated to validate the theory. Several new modes not reported in previous analysis are presented.

Proper generalized decomposition (PGD) is a promising model order reduction (MOR) technique to solve partial differential equations (PDEs). It usually bases on an explicit variable-separated formulation of the problems to be solved. However, it can be expensive to derive the separated formulations. Also, the PGD process can become inefficient because of the massive separated terms.Another way of implementing PGD is based on direct integration. In this work, we illustrate this kind of implementation algebraically by introducing tensors to represent the operator and right-hand side of the problem. The separated formulation-based PGD and tensor-based PGD are compared in computational complexity and accuracy. The pros and cons of both approaches are discussed.The methods are applied in three-dimensional (3D) electrostatic field problems.