Results 31 to 40 of about 1,128,000 (254)

Synthetic aperture sonar imaging using compressive sensing and an ultrasound transducer array [PDF]

, 2013
Includes bibliographical references.Compressive sensing (CS) also known as compressive sampling is a technique used to reconstruct or recover the full-length of a signal with only a few non-adaptive measurements.
Jideani, Josiah Chimnanu
core   +1 more source

Is face recognition really a compressive sensing problem? [PDF]

, 2011
Compressive Sensing has become one of the standard methods of face recognition within the literature. We show, however, that the sparsity assumption which underpins much of this work is not supported by the data.
Hengel, Anton van den, Qinfeng Shi, Van Den Hengel, A., van den Hengel, Anton, Anton van den Hengel, Shi, Qinfeng, Chunhua Shen, Shen, Chunhua, Anders Eriksson, Shen, C., Shi, Q., Eriksson, A., Eriksson, Anders   +12 more
core   +3 more sources

A compressive data gathering method based on El Gamal cryptography

Dianxin kexue, 2019
As a hot researching area,compressive sensing has advantages in signal process,image processing and data gathering and analysis.How to effectively and safely apply compressive sensing technology to collect data in wireless sensor networks is studied ...
Xiaohan YU, Keming DONG, Xia LI, Chao CHEN   +3 more
doaj   +2 more sources

Compressive Sensing for PAN-Sharpening [PDF]

, 2011
Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1].
Bamler, Richard, Makarau, Aliaksei, Wang, Xuan, Zhu, Xiao Xiang   +3 more
core  

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, Nannini, Matteo, M. Nannini, Aguilera, Esteban, Reigber, Andreas, E. Aguilera, A. Reigber   +6 more
core   +1 more source

Lorlatinib‐Containing Therapy for MYCN‐Amplified, ALK‐Mutated Neuroblastoma With Bulky Leptomeningeal Relapse: A Case Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Central nervous system (CNS) relapse of neuroblastoma carries a poor prognosis, and craniospinal irradiation (CSI) poses substantial long‐term toxicity in young children. We report a toddler with MYCN‐amplified neuroblastoma harboring somatic ALK R1275Q who developed extensive leptomeningeal relapse with paraplegia.
Jinwoo Kim, Minji Kim, Nani Jung, Sung Eun Kim, Ji Yoon Kim, Mi Ae Chu, Jung Eun Kwon, Yeo Hyang Kim, So Mi Lee, Ki‐Su Park, Jeong Eun Lee, Ye Jee Shim   +11 more
wiley   +1 more source

Compressive Sensing Image Sensors-Hardware Implementation

Sensors, 2013
The compressive sensing (CS) paradigm uses simultaneous sensing and compression to provide an efficient image acquisition technique. The main advantages of the CS method include high resolution imaging using low resolution sensor arrays and faster image ...
Shahram Shirani, M. Jamal Deen, Mohammadreza Dadkhah   +2 more
doaj   +1 more source

A Novel Image Compressive Sensing Method Based on Complex Measurements

, 2011
Compressive sensing (CS) has emerged as an efficient signal compression and recovery technique, that exploits the sparsity of a signal in a transform domain to perform sampling and stable recovery.
Xiang, Wei, Soar, Jeffrey, Ramesh Kumar, Nandini, Nandini Ramesh Kumar, Jeffrey Soar, Wei Xiang   +5 more
core   +1 more source

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Analog‐to‐Digital Conversion for Cognitive Radio: Subsampling, Interleaving, and Compressive Sensing [PDF]

, 2017
This chapter explores different analog-to-digital conversion techniques that are suitable to be implemented in cognitive radio receivers. This chapter details the fundamentals, advantages, and drawbacks of three promising techniques: subsampling ...
García Oya, José Ramón, Muñoz Chavero, Fernando, Martín Clemente, Rubén   +2 more
core   +1 more source