Results 61 to 70 of about 68,637 (294)

Energy dependence of the GAFCHROMIC LD‐V1 in the diagnostic radiographic modalities

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract The GAFCHROMIC LD‐V1 radiochromic film is widely used in dosimetry because it can provide high‐resolution two‐dimensional dose distributions without processing. This study aimed to evaluate the response characteristics at different effective energies, from the low‐energy range of mammography to the high‐energy range of computed tomography. Net
Tatsuhiro Gotanda, Tomoyuki Hasuo, Shinnosuke Nishihara, Kohsei Matsuura, Yasuyuki Kawaji, Hidetoshi Yatake, Shinya Imai, Takuya Akagawa, Nobuyoshi Tanki, Toshizo Katsuda   +9 more
wiley   +1 more source

An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS

Dianxin kexue, 2013
Distributed compressed sensing theory extends the application of compressed sensing theory, which brings single signal compression sampling to signal group compression sampling.
Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu
doaj   +2 more sources

A Compressed Sampling and Dictionary Learning Framework for WDM-Based Distributed Fiber Sensing

, 2017
We propose a compressed sampling and dictionary learning framework for fiber-optic sensing using wavelength-tunable lasers. A redundant dictionary is generated from a model for the reflected sensor signal. Imperfect prior knowledge is considered in terms
Weiss, Christian, Zoubir, Abdelhak M.
core   +1 more source

Sample Distortion for Compressed Imaging

, 2013
We propose the notion of a sample distortion (SD) function for independent and identically distributed (i.i.d) compressive distributions to fundamentally quantify the achievable reconstruction performance of compressed sensing for certain encoder-decoder
Davies, Mike E., Guo, Chunli
core   +1 more source

Optimised projections for generalised distributed compressed sensing [PDF]

Electronics Letters, 2014
Different signals from the various sensors of the same scene form an ensemble. Distributed compressed sensing (DCS) rests on a new concept called the joint sparsity of the ensemble. JSM‐1 is a model that describes the joint sparsity by one dictionary.
Rong Rong, Yuli Fu, Qiheng Zhang, Haifeng Li   +3 more
openaire   +1 more source

Novel Biologically Active Glass Fiber Functionalized Using Magnesium Phosphate Cement Promotes Bone and Vascular Regeneration

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, Yanbo Shan, Yingjie Xiong, Jianting Ye, Yanbin Wu, Jipeng Song, Yao Zhang, Wancheng Lin, Haoye Meng, Wenjing Xu, Jiang Peng, Qiang Lu, Lixiang Ding   +12 more
wiley   +1 more source

HDIHT: A High-Accuracy Distributed Iterative Hard Thresholding Algorithm for Compressed Sensing

IEEE Access, 2020
Iterative hard thresholding (IHT) is a beneficial tool for the recovery of sparse vectors in compressed sensing. In this study, we propose a high-accuracy distributed iterative hard thresholding algorithm (HDIHT) with explicit consideration given to the ...
Xiaming Chen, Zhuang Qi, Jianlong Xu
doaj   +1 more source

The dynamics of message passing on dense graphs, with applications to compressed sensing

, 2011
Approximate message passing algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements.
Bayati, Mohsen, Montanari, Andrea
core   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Distributed Compressed Sensing of Jointly Sparse Signals [PDF]

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005., 2006
Compressed sensing is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for recon- struction. In this paper we expand our theory for distributed compressed sensing (DCS) that enables new distributed cod- ing algorithms for multi-signal ensembles that exploit both intra-
Marco F. Duarte, Richard G. Baraniuk, Dror Baron, Michael B. Wakin, Shriram Sarvotham   +4 more
openaire   +2 more sources