Mohammadreza Soltani

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We study the problem of demixing a pair of sparse signals from nonlinear observations of their superposition. Mathematically, we consider the observation model y = f (Ax), where y ∈ R n represents the observations, f is a nonlinear link function, A ∈ R m×n is a measurement operator, and x ∈ R n is the superposition of the signals. Further, we assume that x(More)
In this paper, we propose an iterative algorithm based on hard thresholding for demixing a pair of signals from nonlinear observations of their superposition. We focus on the under-determined case where the number of available observations is far less than the ambient dimension of the signals. We derive nearly-tight upper bounds on the sample complexity of(More)
In large-scale Wireless Sensor Networks (WSNs), one of the most important challenges is manageability of the network. With the increase in sensor nodes, data forwarding, route selection, network reliability and data accuracy are vital characteristics of WSNs that suffer from the growth in scale. In this paper, we propose a data fusion based approach to(More)
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