Tomographic SAR Inversion by -Norm Regularization—The Compressive Sensing Approach

XX Zhu, R Bamler - IEEE transactions on Geoscience and …, 2010 - ieeexplore.ieee.org
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 …

Declip** of audio signals using perceptual compressed sensing

B Defraene, N Mansour, S De Hertogh… - … on Audio, Speech …, 2013 - ieeexplore.ieee.org
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 …

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 …

Height measurement of low-angle target using MIMO radar under multipath interference

Y Liu, B Jiu, XG **a, H Liu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

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 …

The efficient norm regularization method applying on the ISAR image with sparse data

YY Dou, YM Wu, HQ **, YQ **, J Hu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

[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 …

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 …

ATASI-Net: An Efficient Sparse Reconstruction Network for Tomographic SAR Imaging with Adaptive Threshold

M Wang, Z Zhang, X Qiu, S Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
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 …

Designing sparse sensing matrix for compressive sensing to reconstruct high resolution medical images

V Tiwari, PP Bansod, A Kumar - Cogent Engineering, 2015 - Taylor & Francis
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 …