Results 71 to 80 of about 1,177,560 (190)

Interplay of Sensor Quantity, Placement and System Dimension in POD-Based Sparse Reconstruction of Fluid Flows

Fluids, 2019
Sparse linear estimation of fluid flows using data-driven proper orthogonal decomposition (POD) basis is systematically explored in this work. Fluid flows are manifestations of nonlinear multiscale partial differential equations (PDE) dynamical systems ...
Balaji Jayaraman, S M Abdullah Al Mamun, Chen Lu   +2 more
doaj   +1 more source

Learning hash functions using sparse reconstruction

, 2014
Approximate nearest neighbor (ANN) search is becoming an increasingly important technique in large-scale problems. Recently many approaches have been developed due to fast query and low storage cost.
Yong Yuan, Lu, Xiaoqiang, Xiaoqiang Lu, Li, Xuelong, Yuan, Yong, Xuelong Li   +5 more
core   +1 more source

Compressed Sensing Image Reconstruction Using the Weighted Star Graph Sparsity Regularization

工程科学与技术, 2018
In order to more effectively represent the higher-order sparse structure of images,a novel compressed sensing (CS) reconstruction algorithm based on the graph sparsity regularization was proposed in this paper.The graph theory method was introduced for ...
Zhonghua XIE, Lihong MA
doaj  

Compressed sensing sparse reconstruction for coherent field imaging

, 2016
Return signal processing and reconstruction plays a pivotal role in coherent field imaging, having a significant influence on the quality of the reconstructed image.
Luo, Xiu-Juan(罗秀娟), Chen, Ming-Lai(陈明徕), Liu, Hui(刘辉), Zhang, Yu(张羽), Cao, Bei(曹蓓)   +4 more
core   +1 more source

Large-Scale Visualization of Sparse Matrices [PDF]

, 2014
An efficient algorithm for parallel acquisition of visualization data for large sparse matrices is presented and evaluated both analytically and empirically.
Tvrdik, P., Dytrych, T., Langr, D., Simecek, I.   +3 more
core   +1 more source

Improving the Signal-to-Noise Ratio of Superresolution Imaging Based on Single-Pixel Camera

IEEE Photonics Journal, 2019
Based on the theories of single-pixel camera and compressed sensing image reconstruction, the sparse basis, the projection method of measurement matrix, and the signal reconstruction algorithm are optimized. First, for the sparse representation of image,
Ziran Wei, Jianlin Zhang, Zhiyong Xu, Yong Liu, Yongmei Huang, Xiangsuo Fan   +5 more
doaj   +1 more source

LRPS‐GCN: A millimeter wave sparse imaging algorithm based on graph signal

IET Radar, Sonar & Navigation
Aiming at the problems of slow speed and poor accuracy of traditional millimeter wave sparse imaging, a sparse imaging algorithm based on graph convolution model is proposed from the perspective of sparse signal recovery.
Li Che, Yongman Wu, Liubing Jiang, Yujie Mu   +3 more
doaj   +1 more source

Sparse Reconstruction Method for Separating Cardiac and Respiratory Components from Electrical Bioimpedance Measurements

Elektronika ir Elektrotechnika, 2018
In this work, we investigate the possibility of employing sparse reconstruction framework for the separation of cardiac and respiratory signal components from the bioimpedance measurements.
Maksim Butsenko, Olev Martens, Andrei Krivosei, Yannick Le Moullec   +3 more
doaj   +1 more source

High-Precision DOA Estimation Based on Synthetic Aperture and Sparse Reconstruction. [PDF]

Sensors (Basel), 2023
Fang Y, Wei X, Ma J.
europepmc   +1 more source

Image Super-Resolution via Self-Similarity Learning and Conformal Sparse Representation

IEEE Access, 2018
It is well known that the super-resolution reconstruction method based on sparse representation has a superior research value. However, the sparse coefficients of low-resolution (LR) patches by a classic method are not loyal to high-resolution (HR ...
Shiyan Wang, Yaoyao Wei, Ken Long, Xi Zeng, Min Zheng   +4 more
doaj   +1 more source