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Mohamed Suliman
Imperial College London
Mathematical optimizationMatrix (mathematics)EstimatorMathematicsRegularization (mathematics)
14Publications
3H-index
16Citations
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Publications 17
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This paper develops a new mathematical framework for denoising in blind two-dimensional (2D) super-resolution upon using the atomic norm. The framework denoises a signal that consists of a weighted sum of an unknown number of time-delayed and frequency-shifted unknown waveforms from its noisy measurements. Moreover, the framework also provides an approach for estimating the unknown parameters in the signal. We prove that when the number of the observed samples satisfies certain lower bound that ...
May 1, 2020 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Mohamed Suliman (Imperial College London)H-Index: 3
#2Wei Dai (Imperial College London)H-Index: 23
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#1Mohamed Suliman (Imperial College London)H-Index: 3
#2Adam Buckley (Imperial College London)H-Index: 5
Last. Maha T Barakat (Imperial College London)H-Index: 5
view all 7 authors...
4 CitationsSource
#1Adam BuckleyH-Index: 5
#2Mohamed SulimanH-Index: 3
Last. Maha T BarakatH-Index: 5
view all 7 authors...
Background: Liraglutide 3 mg was approved in the UAE for the treatment of obesity in residents with BMI >30 kg/m2 or BMI >27 kg/m2 with obesity-related complications and clinical use started in January 2017 at the Imperial College London Diabetes Centre (ICLDC). The proportions of participants achieving weight loss of ≥5%, ≥10% and ≥15% at 16 weeks were 60%, 23% and 6%. Methods: Retrospective review of clinical data from a cohort of patients treated at ICLDC in Abu Dhabi and Al Ain, UAE. Inclusi...
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May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Mohamed Suliman (Imperial College London)H-Index: 3
#2Wei Dai (Imperial College London)H-Index: 23
In this paper, we provide a new mathematical framework for identifying the parameters of a linear system from its response to multiple unknown waveforms. We assume that the system response is given by an unknown number of scaled versions of time-delayed and frequency-shifted unknown waveforms. Then, we develop a blind two-dimensional super-resolution framework that is based on the convex atomic norm frame-work to recover the continuous time-frequency shifts as well as the unknown waveforms. We p...
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Apr 1, 2019 in WCNC (Wireless Communications and Networking Conference)
#1Tarig Ballal (KAUST: King Abdullah University of Science and Technology)H-Index: 6
#2Mohamed Suliman (Imperial College London)H-Index: 3
Last. Tareq Y. Al-Naffouri (KAUST: King Abdullah University of Science and Technology)H-Index: 25
view all 4 authors...
Recovering data symbols in a wireless communications system consists of two main estimation steps: channel estimation based on transmitted pilot symbols, and estimation of data symbols using the acquired channel information. The amount of energy allocated to each of pilot and data transmission determines the performance of each estimation step, which further impacts the overall system performance. In this paper, we consider a linear minimum mean squared error (LMMSE) receiver that uses the LMMSE...
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#1Mohamed Suliman (Imperial College London)H-Index: 3
#2Wei Dai (Imperial College London)H-Index: 23
In this work, we propose a general mathematical framework for blind three-dimensional super-resolution theory that recovers the continuous shifts and the amplitudes in a mixture of unknown waveforms upon using the received signal. We prove that the three-dimensional shifts, the amplitudes, and the unknown waveforms can all be recovered precisely and with high probability via convex programming when the number of the observed samples obeys certain complexity bound. This exact recovery holds provi...
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#1Mohamed Suliman (KAUST: King Abdullah University of Science and Technology)H-Index: 3
#2Tarig Ballal (KAUST: King Abdullah University of Science and Technology)H-Index: 6
Last. Tareq Y. Al-Naffouri (KAUST: King Abdullah University of Science and Technology)H-Index: 25
view all 5 authors...
This paper addresses the problem of 3-D location estimation from perturbed range information and uncertain anchor positions. The 3-D location estimation problem is formulated as a min-max convex optimization problem with a set of second-order cone constraints. Robust optimization tools are applied to convert these cone constrains to semi-definite programming constraints and achieve robust location estimation without prior knowledge of the statistical distributions of the errors. Simulation resul...
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Super-resolution techniques are concerned with extracting fine-scale data from low-resolution information. In this work, we study the problem of identifying the parameters of a linear system from its response to multiple unknown input waveforms. We assume that the system response, which is the only given information, is a scaled superposition of time-delayed and frequency-shifted versions of the unknown waveforms. Such kind of problem is severely ill-posed and does not yield a solution without i...
Apr 1, 2018 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Mohamed Suliman (KAUST: King Abdullah University of Science and Technology)H-Index: 3
#2Houssem Sifaou (KAUST: King Abdullah University of Science and Technology)H-Index: 4
Last. Tareq Y. Al-Naffouri (KAUST: King Abdullah University of Science and Technology)H-Index: 25
view all 5 authors...
In this paper, we propose a new regularized robust estimation approach based on the robust \tau-estimator applied to linear ill-posed problems in the presence of noise outliers. Additionally, we introduce a new approach to obtain the optimal regularization parameter for the proposed robust estimator by using tools from random matrix theory. Simulation results demonstrate that the proposed approach with its automated regularization parameter selection outperforms a set of benchmark methods.
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