Mohamed A. Zohdy

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This paper presents a new recurrent dynamic neural network approach to solve noisy signal representation and processing problems. Essentially, the neural network solves, in a systematic way, for the sets of representation coefficients required to model a given signal in terms of basis elementary signals. The network converges by seeking the minimum energy(More)
Some applications are constrained only to implement low cost receivers. In this case, designers are required to use less complex and non-expensive modulation techniques. Differential Quadrature Phase Shift Keying (DQPSK) and Gaussian Frequency Shift Keying (GFSK) can be non-coherently demodulated with simple algorithms. However, these types of demodulation(More)
In this paper accurate estimation of parameters, higher order state space prediction methods and Extended Kalman filter (EKF) for modeling shadow power in wireless mobile communications are developed. Path-loss parameter estimation models are compared and evaluated. Shadow power estimation methods in wireless cellular communications are very important for(More)
Polyglutamine repeats in proteins are highly correlated with amyloid formation and neurological disease. To better understand the molecular basis of glutamine repeat diseases, structural analysis of polyglutamine peptides as soluble monomers, oligomers, and insoluble amyloid fibrils is necessary. In this study, fluorescence resonance energy transfer (FRET)(More)