Alper Tunga Erdogan

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Since its first inception, the discrete complex image method (DCIM) has been criticized for the lack of a proper prediction algorithm of the error incurred during the process. Although the method has been improved and modified several times, not being able to input any prior specification or to get any meaningful assessment on the error deters(More)
Polarization division multiplexing (PDM) has been proposed as a scheme for increasing data rates in fiber optic communication systems. In the PDM scheme, the use of two orthogonal polarizations as alternative data paths is a promising approach in terms of doubling the information rate relative to conventional schemes. However, due to the severe distortion(More)
The discrete complex image method (DCIM) has been well-established and widely employed as a tool to compute spatial-domain Green's functions in planar multilayered media. Although the use of the DCIM in conjunction with the method of moments has been quite satisfactory for the efficient analysis of printed structures in layered media, it has not been(More)
In this article we present a fractionally spaced extension of the SubGradient based Blind equalization Algorithm (SGBA). The basic features of the proposed algorithm are the non-linear constraint on the search vector and the selection of the weighting and step size applied to the search vector. It is proven that the algorithm is globally convergent to a(More)
An l<sub>&#x221E;</sub> norm based Source Separation Method has recently been introduced [1, 2], with the corresponding subgradient based algorithm that has a simple update rule. In this article, we propose a moving window modification to this algorithm, where instead of a long fixed window, a shorter length moving window is used. The simulation results for(More)
Bounded Component Analysis (BCA) has recently been introduced as an alternative linear decomposition scheme. In this approach the boundedness property of sources is exploited to replace the usual independence assumption with a weaker assumption, which enables development of methods to separate both independent and dependent components from their mixtures.(More)
Although DCIM is very robust and efficient to obtain spatial-domain Green's functions from their spectral-domain counterparts in planar media, the method suffers from the lack of an error metric ensuring the accuracy of the end result, which deters CAD developers and engineers from using it in the development of commercial tools. To remedy this shortcoming(More)
Abstract : An $l_\infty$ norm based Source Separation Method has recently been introduced, with the corresponding subgradient based algorithm that has a simple update rule. In this article, we propose a moving window modification to this algorithm, where instead of a long fixed window, a shorter length moving window is used. The simulation results for(More)