Tomographic SAR Inversion by -Norm Regularization—The Compressive Sensing Approach
Synthetic aperture radar (SAR) tomography (TomoSAR) extends the synthetic aperture
principle into the elevation direction for 3-D imaging. The resolution in the elevation direction …
principle into the elevation direction for 3-D imaging. The resolution in the elevation direction …
Declip** of audio signals using perceptual compressed sensing
The restoration of clipped audio signals, commonly known as declip**, is important to
achieve an improved level of audio quality in many audio applications. In this paper, a novel …
achieve an improved level of audio quality in many audio applications. In this paper, a novel …
Learning based compressed sensing for SAR image super-resolution
C He, L Liu, L Xu, M Liu, M Liao - IEEE Journal of Selected …, 2012 - ieeexplore.ieee.org
This paper presents a novel approach for the reconstruction of super-resolution (SR)
synthetic aperture radar (SAR) images in the compressed sensing (CS) theory framework …
synthetic aperture radar (SAR) images in the compressed sensing (CS) theory framework …
Height measurement of low-angle target using MIMO radar under multipath interference
For a very high frequency radar, multiple reflection paths, ie, multipaths, of target echoes
may cause severe errors in elevation estimation of low-angle targets, especially in the case …
may cause severe errors in elevation estimation of low-angle targets, especially in the case …
Expected RIP: Conditioning of the modulated wideband converter
M Mishali, YC Eldar - 2009 IEEE Information Theory Workshop, 2009 - ieeexplore.ieee.org
The sensing matrix of a compressive system impacts the stability of the associated sparse
recovery problem. In this paper, we study the sensing matrix of the modulated wideband …
recovery problem. In this paper, we study the sensing matrix of the modulated wideband …
The efficient norm regularization method applying on the ISAR image with sparse data
Inverse synthetic aperture radar (ISAR) image data of a single target is sparse in the image
domain. Based on this sparseness, we could obtain a high-precision image reconstruction …
domain. Based on this sparseness, we could obtain a high-precision image reconstruction …
[HTML][HTML] Deterministic sampling of sparse trigonometric polynomials
Z Xu - Journal of Complexity, 2011 - Elsevier
One can recover sparse multivariate trigonometric polynomials from a few randomly taken
samples with high probability (as shown by Kunis and Rauhut). We give a deterministic …
samples with high probability (as shown by Kunis and Rauhut). We give a deterministic …
L(1/2) Regularization for ISAR Imaging and Target Enhancement of Complex Image
A Wu, Y Wu, Y **, Y Wang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) imaging
technology are powerful tools to acquire high-resolution radar image, which is an important …
technology are powerful tools to acquire high-resolution radar image, which is an important …
ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold
Tomographic synthetic aperture radar (SAR) technique has attracted remarkable interest for
its ability of 3-D resolving along the elevation direction via a stack of SAR images collected …
its ability of 3-D resolving along the elevation direction via a stack of SAR images collected …
Designing sparse sensing matrix for compressive sensing to reconstruct high resolution medical images
Compressive sensing theory enables faithful reconstruction of signals, sparse in domain Ψ,
at sampling rate lesser than Nyquist criterion, while using sampling or sensing matrix Φ …
at sampling rate lesser than Nyquist criterion, while using sampling or sensing matrix Φ …