Results 1 to 10 of about 50 (50)
Sparse reconstruction algorithms for nonlinear microwave imaging [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Zaimaga, Hidayet +2 more
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Microwave Sparse Imaging Applied to Stroke Monitoring
2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021 We study the application of differential microwave sparse imaging in brain diagnostics. In particular, we describe the estimation stroke change between the consecutive measurements using l1 regularization. The method is verified using a realistic anthropomorphic human phantom.
Stevanovic, Marija Nikolic +3 more
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Smooth Polynomial Approach for Microwave Imaging in Sparse Processing Framework
IEEE Access, 2022 We developed a novel qualitative imaging algorithm based on a polynomial approximation of the unknown contrast and sparse ( $l_{1}$ ) regularization. Contrary to previously published results, we defined polynomial basis functions on subdomains that divide the investigation domain.
Tushar Singh +3 more
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Current Developments of Sparse Microwave Imaging
Journal of Radars, 2014 The sparse microwave imaging combines the sparse signal processing theory with radar imaging to obtain new theory, new system, and new methodology of microwave imaging. In this paper, a brief review of fundamental issues in applying sparse signal processing to radar imaging is provided, including sparse representation, measurement matrix construction ...
Wu Yi-rong +5 more
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FMCW sparse array imaging and restoration for microwave gauging [PDF]
Advances in Radio Science, 2012 Abstract. The application of imaging radar to microwave level gauging represents a prospect of increasing the reliability of target detection. The aperture size of the used sensor determines the underlying azimuthal resolution. In consequence, when FMCW-based multistatic radar (FMCW: frequency modulated continuous wave) is used, the number of antennas ...
S. Kolb, R. Stolle
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Compressive sensing and sparse antenna arrays for indoor 3-D microwave imaging [PDF]
2017 25th European Signal Processing Conference (EUSIPCO), 2017 Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Simon Scott, John Wawrzynek
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A sparse coding approach to inverse problems with application to microwave tomography
CoRR, 2023 IAR 60th Anniversary: Prospects for Low Frequency Radio Astronomy in South ...
Caiafa, César Federico +1 more
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Nonlinear Projected Sparse Optimization Approach Based on Adam Algorithm for Microwave Imaging [PDF]
2020 Advances in Science and Engineering Technology International Conferences (ASET), 2020 A microwave imaging algorithm based on contrast-field equations is developed for sparse domains. The proposed algorithm is inspired by machine learning optimization schemes. More specifically it is based on Adam approach which is a first-order gradient optimization algorithm that has been studied intensively in optimizing artificial neural networks. To
Abdulla Desmal +2 more
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TARGET DETECTION FROM MICROWAVE IMAGING BASED ON RANDOM SPARSE ARRAY AND COMPRESSED SENSING [PDF]
Progress In Electromagnetics Research B, 2013 This paper proposes an imaging scheme using a random sparse array (RSA) structure for radar target detection using compressed sensing (CS). The array collects sparse measurements with less collection time and data storage. Two schemes of the RSA are considered, random SAR mode and random array mode.
Huang, Ling, Lu, Yi Long
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RIPless Based Radar Waveform Analysis in Sparse Microwave Imaging
Journal of Radars, 2013 The echo data can be modeled as the product of the Toeplitz matrix and reflectivity of the observed scene. The row of the Toeplitz matrix is the time-shift of the transmitted signal. Since, it is difficult to vertify whether the Toeplitz matrix satisfis the reconstruct condition of sparse microwave imaging (such as, restricted isometry property ...
Zhao Yao +3 more
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