Results 41 to 50 of about 277,175 (273)
Sparse System Identification of Leptin Dynamics in Women With Obesity
Frontiers in Endocrinology, 2022 The prevalence of obesity is increasing around the world at an alarming rate. The interplay of the hormone leptin with the hypothalamus-pituitary-adrenal axis plays an important role in regulating energy balance, thereby contributing to obesity.
Md. Rafiul Amin +5 more
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Continuous-Time Sparse Signal Recovery
IEEE AccessThis study investigates a continuous-time method for sparse signal recovery, which is suitable for analog optical circuit implementation. The proposed method is defined by a nonlinear ordinary differential equation (ODE) derived from the gradient flow ...
Tadashi Wadayama, Ayano Nakai-Kasai
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Jointly Iterative Adaptive Approach Based Space Time Adaptive Processing Using MIMO Radar
IEEE Access, 2018 To solve the problem of large training samples requirement of space time adaptive processing (STAP), a jointly sparse matrices recovery-based method is proposed for clutter plus noise covariance matrix estimation by exploiting the transmitting waveform ...
Weike Feng +4 more
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New Sufficient Conditions of Signal Recovery With Tight Frames via
IEEE Access, 2018 This paper discusses the recovery of signals that are nearly sparse with respect to a tight frame D by means of the l1-analysis approach. We establish several new sufficient conditions regarding the D-restricted isometry property to ensure stable ...
Jianwen Huang +3 more
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Robust sparse recovery with sparse Bernoulli matrices via expanders
Applied and Computational Harmonic Analysis, 2022 Sparse binary matrices are of great interest in the field of sparse recovery, nonnegative compressed sensing, statistics in networks, and theoretical computer science. This class of matrices makes it possible to perform signal recovery with lower storage costs and faster decoding algorithms.
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Reliable recovery of hierarchically sparse signals for Gaussian and Kronecker product measurements
, 2020 We propose and analyze a solution to the problem of recovering a block sparse signal with sparse blocks from linear measurements. Such problems naturally emerge inter alia in the context of mobile communication, in order to meet the scalability and low ...
Eisert, Jens +4 more
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Three-Dimensional Imaging of Terahertz Circular SAR with Sparse Linear Array
Sensors, 2018 Due to the non-contact detection ability of radar and the harmlessness of terahertz waves to the human body, three-dimensional (3D) imaging using terahertz synthetic aperture radar (SAR) is an efficient method of security detection in public areas.
Jubo Hao, Jin Li, Yiming Pi
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An Asynchronous Parallel Approach to Sparse Recovery
, 2017 Asynchronous parallel computing and sparse recovery are two areas that have received recent interest. Asynchronous algorithms are often studied to solve optimization problems where the cost function takes the form $\sum_{i=1}^M f_i(x)$, with a common ...
Needell, Deanna, Woolf, Tina
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Sparse recovery via differential inclusions
Applied and Computational Harmonic Analysis, 2016 In this paper, we recover sparse signals from their noisy linear measurements by solving nonlinear differential inclusions, which is based on the notion of inverse scale space (ISS) developed in applied mathematics. Our goal here is to bring this idea to address a challenging problem in statistics, \emph{i.e.} finding the oracle estimator which is ...
Stanley Osher +4 more
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Sparse Auto-Calibration for Radar Coincidence Imaging with Gain-Phase Errors
Sensors, 2015 Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of relative motion between target and radar. The sparsity-driven approaches are commonly used in RCI, while the prior knowledge of imaging models needs ...
Xiaoli Zhou +3 more
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