Results 31 to 40 of about 2,561,650 (296)
Compressed quantitative MRI: Bloch response recovery through iterated projection [PDF]
, 2014 Inspired by the recently proposed Magnetic Resonance Fingerprinting technique, we develop a principled compressed sensing framework for quantitative MRI.
Wiaux, Yves; id_orcid +8 more
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Convolutional compressed sensing using deterministic sequences [PDF]
, 2012 This is the author's accepted manuscript (with working title "Semi-universal convolutional compressed sensing using (nearly) perfect sequences"). The final published article is available from the link below. Copyright @ 2012 IEEE.
Cong Ling +4 more
core +1 more source
Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas [PDF]
, 2012 Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a ...
Nannini, Matteo +2 more
core +1 more source
Sparsity and incoherence in compressive sampling [PDF]
Inverse Problems, 2007 We consider the problem of reconstructing a sparse signal $x^0\in\R^n$ from a limited number of linear measurements. Given $m$ randomly selected samples of $U x^0$, where $U$ is an orthonormal matrix, we show that $\ell_1$ minimization recovers $x^0$ exactly when the number of measurements exceeds \[ m\geq \mathrm{Const}\cdotμ^2(U)\cdot S\cdot\log n, \]
Candès, Emmanuel, Romberg, Justin
openaire +3 more sources
Multi-signal Compressed Sensing For Polarimetric SAR Tomography [PDF]
, 2011 In recent years, three-dimensional imaging by means of SAR tomography has become a field of intensive research. In SAR tomography, the vertical reflectivity function for every azimuth-range pixel is usually recovered by processing data collected using a ...
Aguilera, Esteban Pedro +6 more
core +1 more source
On Compressing Collections of Substring Samples. [PDF]
, 2022 Peer ...
Golnaz Badkobeh +3 more
openaire +2 more sources
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting [PDF]
, 2014 Inspired by the recently proposed magnetic resonance fingerprinting (MRF) technique, we develop a principled compressed sensing framework for quantitative MRI. The three key components are a random pulse excitation sequence following the MRF technique, a
Wiaux, Yves; id_orcid +5 more
core +1 more source
Data value storage for compressed semi-structured data [PDF]
, 2013 Growing user expectations of anywhere, anytime access to information require new types of data representations to be considered. While semi-structured data is a common exchange format, its verbose nature makes files of this type too large to be ...
Ross, Isla +3 more
core +4 more sources
Sparse channel fast reconstruction algorithm for OFDM system based on IOC-CSMP
Tongxin xuebao, 2023 A fast reconstruction algorithm based on inner product optimization and sparsity updating constraint was proposed for OFDM system channel estimation when the number of channel paths was unknown.By constructing and updating the selection vector, the inner
Wei CUI +4 more
doaj
Shockwave Signal Downsampling Rate Acquisition Based on Sparse Fourier Transform
IEEE Access, 2022 The wireless distributed transient shockwave testing system based on Nyquist sampling needs to keep high sampling rate and front-end data processing rate, which leads to the shortening of the life cycle of wireless nodes.
Bo Xu +6 more
doaj +1 more source