Results 51 to 60 of about 68,637 (294)

A Decentralized Bayesian Algorithm For Distributed Compressive Sensing in Networked Sensing Systems [PDF]

IEEE Transactions on Wireless Communications, 2016
Compressive sensing (CS), as a new sensing/sampling paradigm, facilitates signal acquisition by reducing the number of samples required for reconstruction of the original signal, and thus appears to be a promising technique for applications where the sampling cost is high, e.g., the Nyquist rate exceeds the current capabilities of analog-to-digital ...
Chen, W, Wassell, IJ
openaire   +3 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, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Wideband distributed cooperative compressed spectrum sensing algorithm based on weighted consensus optimization

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, Youming LI, Guili ZHOU, Yaohui WU   +3 more
doaj   +2 more sources

Distributed Compressed Sensing MRI Using Volume Array Coil

International Journal of Distributed Sensor Networks, 2013
The volume array coil in the magnetic resonance imaging (MRI) system is a typical application of the distributed sensor network in the biomedical area.
Zhen Feng, Feng Liu, He Guo, Zhikui Chen, Mingfeng Jiang, Mingjian Hong, Qi Jia   +6 more
doaj   +1 more source

Shockwave Signal Downsampling Rate Acquisition Based on Sparse Fourier Transform

IEEE Access, 2022
The wireless distributed transient shockwave testing system based on Nyquist sampling needs to keep high sampling rate and front-end data processing rate, which leads to the shortening of the life cycle of wireless nodes.
Bo Xu, Zhi Zhang, Zhenglin Xie, Tailin Han, Hong Liu, Xuan Liu, Mingchi Ju   +6 more
doaj   +1 more source

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, Thirumalai, Vijayaraghavan   +1 more
core   +3 more sources

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

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, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Enhanced analysis of gating latency in 0.35T MR‐linac through innovative time synchronization of a motion phantom and plastic scintillation detector

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study aims to evaluate how different gantry angles, breathing rates (BPM), cine image speeds, and tracking algorithms affect beam on/off latency and the subsequent impact on target dose for a 0.35T MR‐Linac with a 6 MV FFF beam.
Mateb Al Khalifa, Tianjun Ma, Haya Aljuaid, Siyong Kim, William Y. Song   +4 more
wiley   +1 more source

Random Tight Frames

, 2011
We introduce probabilistic frames to study finite frames whose elements are chosen at random. While finite tight frames generalize orthonormal bases by allowing redundancy, independent, uniformly distributed points on the sphere approximately form a ...
Ehler, Martin
core   +1 more source

A Video Code Based on Distribution Compressive Sensing

Procedia Engineering, 2012
AbstractCompressed sensing (CS) is a new technique for simultaneous data sampling and compression. In this paper, we propose a new video coding algorithm based on Distributed Compressive Sampling(DCS) principles, where almost all computation burdens can be shifted to the decoder, resulting in a very lowcomplexity encoder.
WU Minghu, WU Minghu, Zhu Xiu-chang
openaire   +2 more sources