Results 91 to 100 of about 5,109 (308)
Compressive Sensing Holographic Microwave Random Array Imaging of Dielectric Inclusion
IEEE Access, 2018 Holographic microwave imaging is an innovative method to image biological objects based on their dielectric properties, which has the advantages of high spatial resolution.
Lulu Wang, Mostafa Fatemi
doaj +1 more source
Compressive Sensing for Inverse Problems
, 2018 International audienceThis work is devoted to the presentation of the recent advances of Compressive Sensing (CS) as applied to inverse scattering problems.
Poli, Lorenzo +13 more
core +1 more source
Achieving Robust Compressive Sensing Seismic Acquisition with a Two-Step Sampling Approach
, 2023 The compressive sensing (CS) framework offers a cost-effective alternative to dense alias-free sampling. Designing seismic layouts based on the CS technique imposes the use of specific sampling patterns in addition to the logistical and geophysical ...
Michael B. Wakin +2 more
core +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
Advanced Materials, EarlyView.This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
IEEE AccessThe compressive sensing technique can significantly improve the efficiency of the method of moments in solving the monostatic electromagnetic scattering problem by compressing the number of incident sources.
Yalan Gao +3 more
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Face Recognition Based on Optimized Projections for Distributed Intelligent Monitoring Systems
International Journal of Distributed Sensor Networks, 2016 Compressive sensing (CS), as a new theory of signal processing, has found many applications. This paper deals with a CS-based face recognition system design.
Aihua Yu +4 more
doaj +1 more source
Wavelet-Based Compressed Sensing for Polarimetric SAR Tomography
, 2013 Tomographic synthetic aperture radar (SAR) imaging has been recently formulated in a wavelet-based compressed sensing (CS) framework. This paper reviews the underlying sparsity-driven algorithms for single-channel as well as polarimetric tomography, and ...
Nannini, Matteo +2 more
core
Advanced Materials, EarlyView.Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang +9 more
wiley +1 more source
An adaptive approach for integrating primary user behavior in compressive spectrum sensing
EURASIP Journal on Wireless Communications and NetworkingCompressive sensing (CS) has been widely used to sense the wideband spectrum with fewer measurements by taking advantage of radio spectrum underutilization.
Ahmed A. Tawfik +2 more
doaj +1 more source
CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning
CoRRVision-Language Models (vLLMs) have emerged as powerful architectures for joint reasoning over visual and textual inputs, enabling breakthroughs in image captioning, cross modal retrieval, and multimodal dialogue. However, as these models scale to longer video sequences and richer language descriptions, the quadratic complexity of the standard ...
Andrew Kiruluta +2 more
openaire +2 more sources