Hadeel Elayan

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Embedding a sparse penalty in conventional Least Mean Square (LMS) adaptive algorithms is an established strategy to enhance the performance and robustness against noise in the estimation of sparse plants, such as wireless mul-tipath channels. In this paper we review the most prominent NLMS-based algorithms with &#x2113;<sub>p</sub>-norm constraint,(More)
In order to exploit the inherent sparsity of an OFDM multipath wireless channel, this paper presents a novel estimation technique based on the &#x2113;1-LS criterion that relies on the selection of the optimal regularization parameter. This term is proven in the paper to be intimately related to the Signal to Noise Ratio (SNR) and Sparsity Degree (&#x03C1;)(More)
This paper presents a technique for enhanced localization of moving nodes in Wireless Sensor Networks (WSNs). The proposed technique is based on the use of Time Difference of Arrival (TDOA) along with Particle Filter (PF) method which is demonstrated to be capable of accurate detection since each particle in the PF represents a state which translates into(More)
The emerging in vivo communication and networking system is a prospective component in advancing health care delivery and empowering the development of new applications and services. In vivo communications construct wirelessly networked cyber-physical systems of embedded devices to allow rapid, correct and cost-effective responses under various conditions.(More)
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