Results 21 to 30 of about 724,897 (308)

Sparse representations in audio & music: from coding to source separation [PDF]

, 2010
—Sparse representations have proved a powerful toolin the analysis and processing of audio signals and already lieat the heart of popular coding standards such as MP3 andDolby AAC.
Davies, ME, Gribonval, R, Daudet, Laurent, Plumbley, MD, Davies, M.E.; id_orcid, Daudet, L., Blumensath, T., Plumbley, Mark D., Gribonval, Rémi, Davies, Mike E., Plumbley, M.D., Blumensath, Thomas, Gribonval, R., Blumensath, T, Daudet, L, Davies, M.E.   +15 more
core   +1 more source

Sparse and Low-Rank Constrained Tensor Factorization for Hyperspectral Image Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Third-order tensors have been widely used in hyperspectral remote sensing because of their ability to maintain the 3-D structure of hyperspectral images.
Pan Zheng, Hongjun Su, Qian Du
doaj   +1 more source

On the convergence of the combination technique [PDF]

, 2013
Sparse tensor product spaces provide an efficient tool todiscretize higher dimensional operator equations. The direct Galerkin method in such ansatz spaces may employ hierarchical bases, interpolets, wavelets or multilevel frames. Besides, an alternative
Griebel, Michael, Michael Griebel, Helmut Harbrecht, Harbrecht, Helmut, Griebel, M., Harbrecht, H.   +5 more
core   +1 more source

Robust Recovery of Corrupted Image Data Based on $L_{1-2}$ Metric

IEEE Access, 2018
For removing noises and recovering intrinsic structure from corrupted image data, a classic modeling approach is based on sparsity assumption. In traditionally, the sparsity is measured by L1-norm.
Fanlong Zhang, Guowei Yang, Zhangjing Yang, Minghua Wan   +3 more
doaj   +1 more source

Tomographic SAR Imaging Method Based on Sparse and Low-rank Structures

Leida xuebao, 2022
This paper proposes a three-dimensional tomographic SAR imaging method based on a combined sparse and low-rank structures. The traditional Compressed Sensing (CS) based tomographic SAR imaging methods only utilize the sparse representation and ...
Yao ZHAO, Juncong XU, Xiangyin QUAN, Li CUI, Zhe ZHANG   +4 more
doaj   +1 more source

Voxel selection in fMRI data analysis based on sparse representation [PDF]

, 2009
Multivariate pattern analysis approaches toward detection of brain regions from fMRI data have been gaining attention recently. In this study, we introduce an iterative sparse-representation-based algorithm for detection of voxels in functional MRI (fMRI)
Namburi, Praneeth, Guan, Cuntai, Li, Yuanqiang, Feng, Jianfeng, Yu, Zhuliang, Gu, Zhenghui   +5 more
core   +1 more source

CederGroupHub/sparse-lm: v0.5.1

, 2023
What's Changed <ul> <li>Added examples by @qchempku2017 in <a href="https://github.com/CederGroupHub/sparse-lm/pull/95">https://github.com/CederGroupHub/sparse-lm/pull/95</a></li> <li>Fixes issue #96 by @qchempku2017 ...
Peichen Zhong, Luis Barroso-Luque, Ronald Kam, tchen0965, Fengyu Xie   +4 more
core   +1 more source

Hyperspectral Anomaly Detection via Sparse Dictionary Learning Method of Capped Norm

IEEE Access, 2019
Hyperspectral anomaly detection is a research hot spot in the field of remote sensing. It can distinguish abnormal targets from the scene just by utilizing the spectral differences and requiring no prior information.
Yuan Yuan, Dandan Ma, Qi Wang
doaj   +1 more source

Iterative reweighted l1 design of sparse FIR filters [PDF]

, 2012
Sparse FIR filters have lower implementation complexity than full filters, while keeping a good performance level. This paper describes a new method for designing 1D and 2D sparse filters in the minimax sense using a mixture of reweighted l1 minimization
Cristian Rusu, Bogdan Dumitrescu, Dumitrescu, Bogdan, Rusu, Cristian   +3 more
core   +1 more source

A Novel Design of Sparse Prototype Filter for Nearly Perfect Reconstruction Cosine-Modulated Filter Banks

Algorithms, 2018
Cosine-modulated filter banks play a major role in digital signal processing. Sparse FIR filter banks have lower implementation complexity than full filter banks, while keeping a good performance level.
Wei Xu, Yi Li, Jinghong Miao, Jiaxiang Zhao, Xin Gao   +4 more
doaj   +1 more source