Results 41 to 50 of about 4,790 (193)

Iterative method for simultaneous sparse approximation

, 2023
This paper studies the problem of Simultaneous Sparse Approximation (SSA). This problem arises in many applications which work with multiple signals maintaining some degree of dependency such as radar and sensor networks.
Sadrizadeh, Sahar, Marvasti, Farokh, Kiani, Shahrzad, Boloursaz, Mahdi   +3 more
core   +1 more source

A Grid-Less Total Variation Minimization-Based Space-Time Adaptive Processing for Airborne Radar

IEEE Access, 2020
Sparse recovery (SR) based space-time adaptive processing (STAP) has attracted much attention due to its small requirement of snapshots in the estimation of the clutter plus noise covariance matrix (CNCM).
Yuyu Su, Tong Wang, Fuyu Tao, Zhongyue Li   +3 more
doaj   +1 more source

Activities and participation after primary total hip arthroplasty; posterolateral versus direct anterior approach in 860 patients

Acta Orthopaedica, 2022
Background and purpose: In the past decade, a shift occurred in surgical total hip arthroplasty (THA) approaches to the posterolateral (PLA) and direct anterior approach (DAA).
Daisy A J M Latijnhouwers, Niels Laas, Suzan H M Verdegaal, Rob G H H Nelissen, Thea P M Vliet Vlieland, Herman H Kaptijn, Maaike G J Gademan   +6 more
doaj   +1 more source

Dynamical Sparse Signal Recovery with Fixed-Time Convergence

, 2019
International audienceArising in a large number of application areas, sparse recovery (SR) has been exhaustively investigated and many algorithms have been proposed.
Sun, Hong, Lyu, Chengcheng, Barbot, Jean-Pierre, Yu, Lei, Ren, Junying, Zheng, Gang   +5 more
core   +1 more source

A Review of Radar Signal Processing Based on Sparse Recovery

Leida xuebao
With the growing demand for radar target detection, Sparse Recovery (SR) technology based on the Compressive Sensing (CS) model has been widely used in radar signal processing.
Yinghui QUAN, Yaojun WU, Lining DUAN, Gang XU, Min XUE, Zhixing LIU, Mengdao XING   +6 more
doaj   +1 more source

Sparse Recovery and Ray Space

, 2023
In the age of informatization and digitalization, it is extremely important to exchange information between reality and the digital world. Numerous interfaces exist to capture human outputs, such as keyboards, mice, and touch screens designed for ...
Yu, Shiduo
core  

Linear Regression Based Clutter Reconstruction for STAP

IEEE Access, 2018
Space-time adaptive processing (STAP) is supposed to be a crucial technique for improving target detection performance in a strong clutter background for airborne phased array radar systems.
Wei Zhang, Zishu He, Huiyong Li
doaj   +1 more source

Matching pursuit LASSO part I: sparse recovery over big dictionary

, 2015
Large-scale sparse recovery (SR) by solving -norm relaxations over Big Dictionary is a very challenging task. Plenty of greedy methods have therefore been proposed to address big SR problems, but most of them require restricted conditions for the ...
Tan, M., Tsang, I., Wang, L.
core   +1 more source

Matching pursuit LASSO part II: applications and sparse recovery over batch signals

, 2015
In Part I, a Matching Pursuit LASSO (MPL) algorithm has been presented for solving large-scale sparse recovery (SR) problems. In this paper, we present a subspace search to further improve the performance of MPL, and then continue to address another ...
Tsang, IW, Tan, M., Wang, L, Tan, M, Tsang, I., Wang, L.   +5 more
core   +1 more source

Dynamical Sparse Recovery with Finite-time Convergence

, 2017
International audienceEven though Sparse Recovery (SR) has been successfully applied in a wide range of research communities, there still exists a barrier to real applications because of the inefficiency of the state-of-the-art algorithms. In this paper,
Lei Yu, Barbot, Jean-Pierre, Gang Zheng, Jean-Pierre Barbot, Yu, Lei, Zheng, Gang   +5 more
core   +1 more source