Results 91 to 100 of about 1,596,426 (191)
Use of delay and sum for sparse reconstruction improvement for structural health monitoring
To perform active structural health monitoring, guided Lamb waves for damage detection have recently gained extensive attention. Many algorithms are used for damage detection with guided waves and among them, the delay-and-sum method is the most commonly
A. Nokhbatolfoghahai +2 more
semanticscholar +1 more source
Three-Dimensional (3-D) Interferometric Inverse Synthetic Aperture Radar (InISAR) imaging system based on the orthogonal double baseline can achieve the 3-D geometric reconstruction of a target effectively, which is extremely helpful in target ...
Wang Yong, Chen Xuefei
doaj +1 more source
Real-time dynamic vocal tract imaging using an accelerated spiral GRE sequence and low rank plus sparse reconstruction. [PDF]
Feng X, Wang Z, Meyer CH.
europepmc +1 more source
Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications
Millimeter-wave automotive radar has become an essential tool for autonomous driving, providing reliable sensing capabilities under various environmental conditions.
Pengyu Jiang +4 more
doaj +1 more source
The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
This paper proposes a novel sparsity adaptive simulated annealing algorithm to solve the issue of sparse recovery. This algorithm combines the advantage of the sparsity adaptive matching pursuit (SAMP) algorithm and the simulated annealing method in ...
Yangyang Li +3 more
doaj +1 more source
Frequency-broadening method of seismic data based on sparse reconstruction inversion strategy
To broaden the effective frequency bandwidth of seismic data and enhance its resolution, we investigate the high-resolution reconstruction method grounded in compressed sensing sparse theory, utilizing the characteristics of sparse decomposition of ...
Shiyou Liu +4 more
doaj +1 more source
Efficient three-dimensional (3D) building reconstruction from drone imagery often faces data acquisition, storage, and computational challenges because of its reliance on dense point clouds.
Xiongjie Yin, Jinquan He, Zhanglin Cheng
doaj +1 more source
Sensor placement for sparse force reconstruction
The present study proposes a Gram-matrix-based sensor placement strategy for sparse force reconstruction in the frequency domain. A modal decomposition of the Gram matrix reveals that its structure is dominated by a few modes near the target frequency, and that each modal contribution reflects the spatial correlation of the corresponding mode shape ...
openaire +2 more sources
Sparse reconstruction of log-conductivity in current density impedance tomography. [PDF]
Gupta M, Mishra RK, Roy S.
europepmc +1 more source
Accelerated Stimulated Raman Projection Tomography by Sparse Reconstruction From Sparse-View Data. [PDF]
Chen X +10 more
europepmc +1 more source

