Results 101 to 110 of about 2,932,031 (355)
A Review of Sparse Recovery Algorithms
IEEE Access, 2019 Nowadays, a large amount of information has to be transmitted or processed. This implies high-power processing, large memory density, and increased energy consumption.
Elaine Crespo Marques +4 more
doaj +1 more source
Compressive Sensing Techniques for Next-Generation Wireless Communications [PDF]
IEEE wireless communications, 2017 A range of efficient wireless processes and enabling techniques are put under a magnifier glass in the quest for exploring different manifestations of correlated processes, where sub-Nyquist sampling may be invoked as an explicit benefit of having a ...
Zhen Gao +5 more
semanticscholar +1 more source
Compressive Super-Resolution Imaging Based on Scrambled Block Hadamard Ensemble
IEEE Photonics Journal, 2016 Recent advances in the field of compressive sensing indicate that it is possible to robustly reconstruct images from judicious compressive samples.
Yicheng Sun +4 more
doaj +1 more source
Robust Binary Fused Compressive Sensing using Adaptive Outlier Pursuit
, 2014 We propose a new method, {\it robust binary fused compressive sensing} (RoBFCS), to recover sparse piece-wise smooth signals from 1-bit compressive measurements. The proposed method is a modification of our previous {\it binary fused compressive sensing}
Figueiredo, Mário A. T. +1 more
core +1 more source
Current and Future Cornea Chip Models for Advancing Ophthalmic Research and Therapeutics
Advanced Biology, EarlyView.This review analyzes cornea chip technology as an innovative solution to corneal blindness and tissue scarcity. The examination encompasses recent developments in biomaterial design and fabrication methods replicating corneal architecture, highlighting applications in drug screening and disease modeling while addressing key challenges in mimicking ...
Minju Kim +3 more
wiley +1 more source
SoftwareX, 2018 Compressive sensing is a computational framework for acquisition and processing of sparse signals at sampling rates below the rates mandated by the Nyquist sampling theorem.
Ervin Sejdić +2 more
doaj
Secure Wireless Communications Based on Compressive Sensing: A Survey
IEEE Communications Surveys and Tutorials, 2019 Compressive sensing (CS) has become a popular signal processing technique and has extensive applications in numerous fields such as wireless communications, image processing, magnetic resonance imaging, remote sensing imaging, and anology to information ...
Yushu Zhang +4 more
semanticscholar +1 more source
Advanced Biology, EarlyView.In this study, a new type of bioactive glass fiber ‐based composite magnesium phosphate bone cement is prepared and verified that its mechanical strength and biological properties. In addition, the cement may have played a biologically active role in the Notch and HIF signaling pathways.
Yuzheng Lu +12 more
wiley +1 more source
International Journal of Distributed Sensor Networks, 2015 Accurate and low-cost localization of multiple targets or nodes is one of fundamental and challenging technical issues in wireless sensor networks (WSNs).
Thu L. N. Nguyen, Yoan Shin
doaj +1 more source
2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 2009 This paper presents an alternative way of random sampling of signals/images in the framework of compressed sensing. In spite of usual random samplers which take p measurements from the input signal, the proposed method uses M different samplers each taking p i ′(i = 1, 2, 3 … M) samples. Therefore, the overall number of samples will be q = M p′.
Abolghasemi, V +4 more
openaire +4 more sources