Results 161 to 170 of about 1,596,426 (191)

Reconstruction Using Sparse Approximation

2018
Interest in sparse approximations is prevalent in the recent years. The reason for this undivided engrossment is due to the large amount of applications. The process to find a sparse approximation can be very cumbersome since there is no specific method that can guarantee a solution in every situation.
Rana Sameer Pratap Singh, Rosepreet Kaur Bhogal   +1 more
openaire   +1 more source

Motion reconstruction using sparse accelerometer data

ACM Transactions on Graphics, 2011
The development of methods and tools for the generation of visually appealing motion sequences using prerecorded motion capture data has become an important research area in computer animation. In particular, data-driven approaches have been used for reconstructing high-dimensional motion sequences from low-dimensional control signals. In this article,
Tautges, J., Zinke, A., Krüger, B., Baumann, J., Weber, A., Helten, T., Müller, M., Seidel, H. ; https://orcid.org/0000-0002-1343-8613, Eberhardt, B.   +8 more
openaire   +2 more sources

Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study

IEEE Transactions on Evolutionary Computation, 2019
Real-world applications typically have multiple sparse reconstruction tasks to be optimized. In order to exploit the similar sparsity pattern between different tasks, this paper establishes an evolutionary multitasking framework to simultaneously ...
Hao Li, Y. Ong, Maoguo Gong, Zhenkun Wang   +3 more
semanticscholar   +1 more source

Challenges in Sparse Image Reconstruction

International Journal of Image and Graphics, 2020
Handling huge amount of data from different sources more so in the images is the latest challenge. One of the solutions to this is sparse representation. The idea of sparsity has been receiving much attention recently from many researchers in the areas such as satellite image processing, signal processing, medical image processing, microscopy image ...
S. Shashi Kiran, K. V. Suresh
openaire   +1 more source

Lamb wave inspection for composite laminates using a combined method of sparse reconstruction and delay-and-sum

Composite structures, 2019
A narrowband tone burst excitation is usually required in most Lamb wave inspection techniques in order to reduce the dispersion effect and maintain mode purity, especially in the case that dispersion compensation is hard to implement, such as the ...
Caibin Xu, Zhibo Yang, Shaohua Tian, Xuefeng Chen   +3 more
semanticscholar   +1 more source

A weighted sparse reconstruction-based ultrasonic guided wave anomaly imaging method for composite laminates

Composite structures, 2019
Ultrasonic guided wave is a promising tool for structural health monitoring and nondestructive testing. Numerous signal processing methods have been proposed to detect and localize anomalies based on ultrasonic guided waves for plate-like structures ...
Caibin Xu, Zhibo Yang, Zhi Zhai, Baijie Qiao, Shaohua Tian, Xuefeng Chen   +5 more
semanticscholar   +1 more source

Image compression via sparse reconstruction

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
The traditional compression system only considers the statistical redundancy of images. Recent compression works exploit the visual redundancy of images to further improve the coding efficiency. However, the existing works only provide suboptimal visual redundancy removal schemes. In this paper, we propose an efficient image compression scheme based on
Yuan Yuan, Oscar C. Au, Amin Zheng, Haitao Yang, Ketan Tang, Wenxiu Sun   +5 more
openaire   +1 more source

DOA Estimation Under Mutual Coupling of Uniform Linear Arrays Using Sparse Reconstruction

IEEE Wireless Communications Letters, 2019
A novel sparse reconstruction method is developed for direction of arrival (DOA) estimation in the presence of unknown mutual coupling of uniform linear arrays.
Yuexian Wang, Ling Wang, Jian Xie, M. Trinkle, B. Ng   +4 more
semanticscholar   +1 more source

Fourier reconstruction with sparse inversion

Geophysical Prospecting, 2007
ABSTRACTThe problem of seismic data reconstruction is posed as an inverse problem where the objective is to obtain the Fourier coefficients that synthesize the signal. Once the coefficients have been found, they are used to reconstruct the data on a uniformly spaced grid.
P. Zwartjes, A. Gisolf
openaire   +1 more source

Under-Determined Convolutive Blind Source Separation Combining Density-Based Clustering and Sparse Reconstruction in Time-Frequency Domain

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2019
Blind source separation (BSS) in time-frequency (TF) domain is a versatile framework to recover sources from the recorded mixture signals in a reverberant environment.
Jun-jie Yang, Yi Guo, Zuyuan Yang, Shengli Xie   +3 more
semanticscholar   +1 more source