Results 51 to 60 of about 487,780 (314)
Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements [PDF]
, 2010 This paper addresses the problem of distributed coding of images whose correlation is driven by the motion of objects or positioning of the vision sensors. It concentrates on the problem where images are encoded with compressed linear measurements.
Frossard, Pascal +1 more
core +3 more sources
Distributed compressed sensing for sensor networks using thresholding [PDF]
SPIE Proceedings, 2009 Distributed compressed sensing is the extension of compressed sampling (CS) to sensor networks. The idea is to design a CS joint decoding scheme at the base station which exploits the inter-sensor correlations, in order to recover the whole observations from very few number of random measurements per node.
Golbabaee, Mohammad +1 more
openaire +4 more sources
Distributed Compressed Video Sensing in Camera Sensor Networks
International Journal of Distributed Sensor Networks, 2012 With the booming of video devices ranging from low-power visual sensors to mobile phones, the video sequences captured by these simple devices must be compressed easily and reconstructed by relatively more powerful servers. In such scenarios, distributed
Yu Liu, Xuqi Zhu, Lin Zhang, Sung Ho Cho
doaj +1 more source
Distributed Compressed Sensing for Static and Time-Varying Networks [PDF]
IEEE Transactions on Signal Processing, 2014 We consider the problem of in-network compressed sensing from distributed measurements. Every agent has a set of measurements of a signal $x$, and the objective is for the agents to recover $x$ from their collective measurements using only communication with neighbors in the network.
Idit Keidar +2 more
openaire +2 more sources
Generalized Distributed Compressive Sensing
, 2012 Distributed Compressive Sensing (DCS) improves the signal recovery performance of multi signal ensembles by exploiting both intra- and inter-signal correlation and sparsity structure. However, the existing DCS was proposed for a very limited ensemble of signals that has single common information \cite{Baron:2009vd}.
Park, Jeonghun +3 more
openaire +2 more sources
Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma
Molecular Oncology, EarlyView.This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu +15 more
wiley +1 more source
IEEE Access, 2021 Nowadays, the development of efficient communication system is necessary for future networks. Compressive sensing was proposed as a technique to save storage and energy by compressing signals using simple linear transformations.
Pedro H. C. De Souza +2 more
doaj +1 more source
Compressed sensing of monostatic and multistatic SAR [PDF]
, 2013 In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Cetin, Mujdat +3 more
core +2 more sources
FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
wiley +1 more source
Dianxin kexue, 2016 Wideband distributed cooperative spectrum sensing based on compressed sensing can not only reduce high sampling rate,but also improve the spectrum sensing performance in low signal to noise ratio environment.In order to further enhance the spectrum ...
Yuzhi YAN +3 more
doaj +2 more sources