Results 41 to 50 of about 31,241 (250)

Iterative Reweighted Minimization for Generalized Norm/Quasi-Norm Difference Regularized Unconstrained Nonlinear Programming

open access: yesIEEE Access, 2019
In this paper, we study the minimization of lp-q (0 <; p ≤ 1, q ≥ 1, p=6q), the general difference of lp and lq norms/quasi-norms, as a nonconvex metric for solving unconstrained nonlinear programming. We first establish an exact (stable)
Yi Cen, Linna Zhang, Ke Wang, Yigang Cen
doaj   +1 more source

Instance Optimal Decoding and the Restricted Isometry Property

open access: yesJournal of Physics: Conference Series, 2018
In this paper, we address the question of information preservation in ill-posed, non-linear inverse problems, assuming that the measured data is close to a low-dimensional model set. We provide necessary and sufficient conditions for the existence of a so-called instance optimal decoder, i.e., that is robust to noise and modelling error.
Keriven, Nicolas, Gribonval, Rémi
openaire   +3 more sources

Improved RIP Conditions for Compressed Sensing with Coherent Tight Frames

open access: yesDiscrete Dynamics in Nature and Society, 2017
This paper establishes new sufficient conditions on the restricted isometry property (RIP) for compressed sensing with coherent tight frames.
Yao Wang, Jianjun Wang
doaj   +1 more source

Stable Recovery of Signals From Highly Corrupted Measurements

open access: yesIEEE Access, 2018
In this paper, we consider the stable recovery of sparse or proximately sparse signals x ∈ ℝn from highly corrupted linear measurements b = Ax + f + e, where f ∈ ℝm is a sparse error vector whose nonzero entries may be ...
Ningning Li, Wengu Chen, Peng Li
doaj   +1 more source

Rigorous restricted isometry property of low-dimensional subspaces

open access: yesApplied and Computational Harmonic Analysis, 2020
33 ...
Gen Li 0005, Qinghua Liu, Yuantao Gu
openaire   +2 more sources

Human-Imperceptible Identification With Learnable Lensless Imaging

open access: yesIEEE Access, 2023
Lensless imaging protects visual privacy by capturing heavily blurred images that are imperceptible for humans to recognize the subject but contain enough information for machines to infer information.
Thuong Nguyen Canh   +2 more
doaj   +1 more source

On the existence of equivalence class of RIP-compliant matrices [PDF]

open access: yes, 2015
In Compressed Sensing (CS), the matrices that satisfy the Restricted Isometry Property (RIP) play an important role. But it is known that the RIP properties of a matrix Φ and its `weighted matrix' GΦ (G being a non-singular matrix) vary drastically in ...
Challa, Subrahmanya Sastry   +2 more
core   +1 more source

Sub-Nyquist SAR via Quadrature Compressive Sampling with Independent Measurements

open access: yesRemote Sensing, 2019
This paper presents an efficient sampling system for the acquisition of synthetic aperture radar (SAR) data at sub-Nyquist rate. The system adopts a quadrature compressive sampling architecture, which uses modulation, filtering, sampling and digital ...
Huizhang Yang   +3 more
doaj   +1 more source

The Computational Complexity of the Restricted Isometry Property, the Nullspace Property, and Related Concepts in Compressed Sensing [PDF]

open access: yes, 2013
This paper deals with the computational complexity of conditions which guarantee that the NP-hard problem of finding the sparsest solution to an underdetermined linear system can be solved by efficient algorithms.
Pfetsch, Marc E., Tillmann, Andreas M.
core   +1 more source

Sparse Recovery With Block Multiple Measurement Vectors Algorithm

open access: yesIEEE Access, 2019
This paper investigates the performance of the block multiple measurement vectors (BMMV) algorithm in reconstructing block joint sparse matrices. We prove that if 41) obeys block restricted isometry property with 8 K+1 <; Nf +1 , then BMMV perfectly ...
Yanli Shi, Libo Wang, Rong Luo
doaj   +1 more source

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