Results 41 to 50 of about 981,446 (269)

Peak Colocalized Orthogonal Matching Pursuit for Seismic Trace Decomposition

IEEE Access, 2020
Orthogonal matching pursuit (OMP) is an efficient method for decomposing a seismic trace with regard to an atom dictionary. The original OMP optimizes one unique single objective in terms of successively maximizing the inner product between an atom and ...
Yongqing Li, Jun Wang, Hui Li, Peng Ren
doaj   +1 more source

A note on orthogonal matching pursuit under restricted isometry property

IET Signal Processing, 2022
The orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm widely used in compressed sensing. The number of iterations required for the OMP algorithm to perform exact the recovery of sparse signals is a fundamental problem in signal ...
Xueping Chen, Jianzhong Liu, Xianwen Ding, Hengzhen Huang   +3 more
doaj   +1 more source

Recovery of Sparse Signals via Modified Hard Thresholding Pursuit Algorithms

IET Signal Processing, 2023
In this paper, we propose a modified version of the hard thresholding pursuit algorithm, called modified hard thresholding pursuit (MHTP), using a convex combination of the current and previous points.
Li-Ping Geng, Jin-Chuan Zhou, Zhong-Feng Sun, Jing-Yong Tang   +3 more
doaj   +1 more source

Channel Estimation Method of OFDM System based on Compressed Sensing

Guangtongxin yanjiu, 2022
Aiming at the time-domain sparsity and unknown sparsity of wireless channels, compressed sensing technology is applied to the channel estimation of Orthogonal Frequency Division Multiplexing (OFDM) system. This paper proposes a sparsity adaptive matching
LI Gui-yong, Lü Jing-zhao, CHEN Bo, QIN Hong, FANG Ze-sheng   +4 more
doaj   +3 more sources

Sparse model identification using orthogonal forward regression with basis pursuit and D-optimality [PDF]

, 2004
An efficient model identification algorithm for a large class of linear-in-the-parameters models is introduced that simultaneously optimises the model approximation ability, sparsity and robustness. The derived model parameters in each forward regression
Harris, C. J., Chen, Sheng, Hong, X., Brown, M., Harris, C.J., Chen, S.   +5 more
core   +1 more source

Sparse feature extraction for fault diagnosis of rotating machinery based on sparse decomposition combined multiresolution generalized S transform

Journal of Low Frequency Noise, Vibration and Active Control, 2019
In order to extract fault impulse feature of large-scale rotating machinery from strong background noise, a sparse feature extraction method based on sparse decomposition combined multiresolution generalized S transform is proposed in this paper. In this
Baokang Yan, Bin Wang, Fengxing Zhou, Weigang Li, Bo Xu   +4 more
doaj   +1 more source

A Dictionary-Based Pursuit Algorithm for Magnetotelluric Signal-Noise Separation

IEEE Access
A critical challenge in magnetotelluric (MT) studies is the effective suppression of noise in collected data prior to investigating deep geological structures and detecting deep-seated blind ore bodies.
Jin Cai, Jianhua Cai
doaj   +1 more source

An epithelial GPR35 isoform supports tumor‐associated transcriptional and metabolic phenotypes

FEBS Letters, EarlyView.
GPR35 generates two functionally distinct isoforms with previously unresolved roles. GPR35‐short mediates immune‐cell chemotaxis, while GPR35‐long is enriched in colorectal cancer epithelium, where it supports increased metabolism, proliferation, and tumor‐associated transcriptional programs.
Jørgen D. Rønneberg, Martine Hjeltnes, Josephine Krieger, Joshua E. Elias, Maria Stensland, Kristian Holm, Xiaojun Jiang, Chuki Khangsar, Tuula A. Nyman, Arthur Kaser, Johannes R. Hov, Tom H. Karlsen, Nicole C. Kaneider, Frode L. Jahnsen, Georg Schneditz   +14 more
wiley   +1 more source

On the Noise Robustness of Simultaneous Orthogonal Matching Pursuit

IEEE Transactions on Signal Processing, 2017
In this paper, the joint support recovery of several sparse signals whose supports present similarities is examined. Each sparse signal is acquired using the same noisy linear measurement process, which returns fewer observations than the dimension of the sparse signals.
Jean-François Determe, Jérôme Louveaux, Laurent Jacques, François Horlin   +3 more
openaire   +3 more sources

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source