Results 31 to 40 of about 794 (157)
Rigorous restricted isometry property of low-dimensional subspaces
33 ...
Gen Li 0005, Qinghua Liu, Yuantao Gu
openaire +2 more sources
Human-Imperceptible Identification With Learnable Lensless Imaging
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
Computational Complexity of Certifying Restricted Isometry Property
Given a matrix $A$ with $n$ rows, a number $k0$ and any arbitrarily small constant ...
Natarajan, Abhiram, Wu, Yi
openaire +4 more sources
Sub-Nyquist SAR via Quadrature Compressive Sampling with Independent Measurements
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
Sparse Recovery With Block Multiple Measurement Vectors Algorithm
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
RIP Sensing Matrices Construction for Sparsifying Dictionaries with Application to MRI Imaging
Practical applications of compressed sensing often restrict the choice of its two main ingredients. They may (i) prescribe the use of particular redundant dictionaries for certain classes of signals to become sparsely represented or (ii) dictate specific
Jinn Ho +2 more
doaj +1 more source
This work investigates the security of optical ciphers integrating compressed sensing (CS) with double random phase encoding. Theoretical analysis demonstrates that the combined system, regardless of the implementation order of the two procedures, can be
Junxin Chen, Yushu Zhang, Leo Yu Zhang
doaj +1 more source
Active Users Detection Based on Orthogonal Least Squares
The Internet of Things (IoT) is the network of numerous physical users that are able to gather and share electronic information with each other. One of the main challenges of IoT is to detect the active users. We first employ the orthogonal least squares
Junxiao Zhou, Guangquan Cheng
doaj +1 more source
The interrupted transmitting and receiving (ITR) can be used in anechoic chamber to solve the coupling between the transmitted and reflected signals. When the ITR periods are random, the fake peaks in high-resolution range profile (HRRP) of ITR echo can ...
Xiaobin Liu +3 more
doaj +1 more source
New Bounds Based on RIP for the Sparse Matrix Recovery via the Weighted
In this paper, we consider using the weighted ℓ2,1 minimization to reconstruct X from Y = AX + Z. This method has been applied to recover multichannel signal in resent years since it exploits both the interchannel correlation and multisource prior.
Huanmin Ge, Run Cao
doaj +1 more source

