Results 71 to 80 of about 487,780 (314)
Multi Terminal Probabilistic Compressed Sensing [PDF]
, 2014 In this paper, the `Approximate Message Passing' (AMP) algorithm, initially developed for compressed sensing of signals under i.i.d. Gaussian measurement matrices, has been extended to a multi-terminal setting (MAMP algorithm).
Haghighatshoar, Saeid
core +2 more sources
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Current radiotherapy practices rely on manual contouring of CT scans, which is time‐consuming, prone to variability, and requires highly trained experts. There is a need for more efficient and consistent contouring methods. This study evaluated the performance of the Varian Ethos AI auto‐contouring tool to assess its potential integration into
Robert N. Finnegan +6 more
wiley +1 more source
Analysis of Fisher Information and the Cramér-Rao Bound for Nonlinear Parameter Estimation after Compressed Sensing [PDF]
, 2015 In this paper, we analyze the impact of compressed sensing with complex random matrices on Fisher information and the Cram\'{e}r-Rao Bound (CRB) for estimating unknown parameters in the mean value function of a complex multivariate normal distribution.
arxiv +1 more source
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
Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan +7 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
Phase transition in binary compressed sensing based on $L_{1}$-norm minimization [PDF]
J. Phys. Soc. Jpn. 93, 084003 (2024)Compressed sensing is a signal processing scheme that reconstructs high-dimensional sparse signals from a limited number of observations. In recent years, various problems involving signals with a finite number of discrete values have been attracting attention in the field of compressed sensing. In particular, binary compressed sensing, which restricts
arxiv +1 more source
Compressive Image Classification using Deterministic Sensing Matrices [PDF]
arXiv, 2022 We look at the use of deterministic sensing matrices for compressed sensing and provide worst-case bounds on the classification accuracy of SVMs on compressively sensed data.
arxiv
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 +3 more
openaire +1 more source
Distributed video coding of secure compressed sensing [PDF]
Security and Communication Networks, 2013 AbstractIn this paper, we use the distributed compressed sensing to deal with video coding. To reduce the orthogonal matching pursuit algorithm computational complexity, we use the quantum‐behaved particle swarm optimization algorithm to reconstruct video signal.
Qing Lei +3 more
openaire +2 more sources