Results 21 to 30 of about 46,224 (313)

Hybrid Precoding Algorithm Based on Discrete Orthogonal Matching Pursuit for Millimeter-Wave Relay Networks [PDF]

open access: yesJisuanji gongcheng, 2020
In order to improve the beamforming gain of massive Multiple-Input Multiple-Output(MIMO) relay system and reduce the hardware cost of phase shifters and radio frequency links in hybrid precoding architecture,this paper proposes a hybrid precoding ...
DING Qingfeng, GAO Xinpeng, DENG Yuqian
doaj   +1 more source

Backward-Optimized Orthogonal Matching Pursuit Approach [PDF]

open access: yesIEEE Signal Processing Letters, 2004
A recursive approach for shrinking coefficients of an atomic decomposition is proposed. The corresponding algorithm evolves so as to provide at each iteration 1) the orthogonal projection of a signal onto a reduced subspace and 2) the index of the coefficient to be disregarded in order to construct a coarser approximation minimizing the norm of the ...
Andrle, Miroslav   +2 more
openaire   +1 more source

Electrical Faults Signals Restoring Based on Compressed Sensing Techniques

open access: yesEnergies, 2020
This research focuses on restoring signals caused by power failures in transmission lines using the basis pursuit, matching pursuit, and orthogonal matching pursuit sensing techniques.
Milton Ruiz, Iván Montalvo
doaj   +1 more source

Direction of arrival estimation with off-grid target based on sparse reconstruction in impulsive noise

open access: yesJournal of Low Frequency Noise, Vibration and Active Control, 2021
This paper proposes a direction of arrival estimation based on sparse signal reconstruction in the presence of alpha noise by the off-grid orthogonal matching pursuit algorithm.
LongKai Liang   +3 more
doaj   +1 more source

Reconstruction of Sparse Polynomials via Quasi-Orthogonal Matching Pursuit Method

open access: yesJournal of Computational Mathematics, 2023
In this paper, we propose a Quasi-Orthogonal Matching Pursuit (QOMP) algorithm for constructing a sparse approximation of functions in terms of expansion by orthonormal polynomials.
Renzhong Feng   +3 more
semanticscholar   +1 more source

Temperature Field Reconstruction Method for Acoustic Tomography Based on Multi-Dictionary Learning

open access: yesSensors, 2022
A reconstruction algorithm is proposed, based on multi-dictionary learning (MDL), to improve the reconstruction quality of acoustic tomography for complex temperature fields.
Yuankun Wei, Hua Yan, Yinggang Zhou
doaj   +1 more source

200-m/500-Mbps underwater wireless optical communication system utilizing a sparse nonlinear equalizer with a variable step size generalized orthogonal matching pursuit.

open access: yesOptics Express, 2021
Linear and nonlinear impairments in underwater wireless optical communication (UWOC) systems caused by the limited bandwidth and nonlinearity of devices severely degrade the system performance.
Yizhan Dai   +13 more
semanticscholar   +1 more source

Optimized orthogonal matching pursuit approach [PDF]

open access: yesIEEE Signal Processing Letters, 2002
An adaptive procedure for signal representation is proposed. The representation is built up through functions (atoms) selected from a redundant family (dictionary). At each iteration, the algorithm gives rise to an approximation of a given signal, which is guaranteed 1) to be the orthogonal projection of a signal onto the subspace generated by the ...
Rebollo-Neira, Laura, Lowe, David
openaire   +1 more source

Efficient Distributed Multi-Task Schemes for mmWave MIMO Channel Estimation

open access: yesIEEE Access, 2022
In this study, the problem of sparse channel estimation is investigated with the employment of a fully distributed approach. We exploit the spatially joint sparsity structure of the involved channels to formulate the channel estimation problem in the ...
Maria Trigka   +2 more
doaj   +1 more source

Orthogonal Matching Pursuit: A Brownian Motion Analysis [PDF]

open access: yes, 2011
A well-known analysis of Tropp and Gilbert shows that orthogonal matching pursuit (OMP) can recover a k-sparse n-dimensional real vector from 4 k log(n) noise-free linear measurements obtained through a random Gaussian measurement matrix with a ...
Fletcher, Alyson K., Rangan, Sundeep
core   +1 more source

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