Results 1 to 10 of about 263,144 (183)

Underwater Acoustic Channel Estimation via an Orthogonal Matching Pursuit Algorithm Based on the Modified Phase-Transform-Weighted Function

open access: yesJournal of Marine Science and Engineering, 2023
In the context of torpedo guidance systems, the performance of active sonar in channel parameter estimation and target detection and recognition is significantly degraded by the multipath effect and the time-varying characteristics of the underwater ...
Xueru Hu, Lanyue Zhang, Di Wu, Jia Wang
doaj   +3 more sources

Intelligent diagnosis model for chest X-ray images diseases based on convolutional neural network [PDF]

open access: yesBMC Medical Imaging
To address misdiagnosis caused by feature coupling in multi-label medical image classification, this study introduces a chest X-ray pathology reasoning method.
Shouyi Yang, Yongxin Wu
doaj   +2 more sources

Custom Orthogonal Weight functions (COWs) for event classification [PDF]

open access: yesNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2022
Nuclear instruments & methods in physics research / A 1040, 167270 (2022).
Dembinski, Hans   +3 more
openaire   +4 more sources

DOA Estimation Based on Weighted l1-norm Sparse Representation for Low SNR Scenarios

open access: yesSensors, 2021
In this paper, a weighted l1-norm is proposed in a l1-norm-based singular value decomposition (L1-SVD) algorithm, which can suppress spurious peaks and improve accuracy of direction of arrival (DOA) estimation for the low signal-to-noise (SNR) scenarios.
Ming Zuo   +3 more
doaj   +1 more source

A New Optimization Approach for Hybrid LDM-NOMA and FeMBMS-OMA in 5G Cellular Broadcasting

open access: yesIEEE Access, 2023
In this paper, a new approach for 5G broadcast optimization deployment is considered. We propose a novel hybrid of layered division multiplexing with non-orthogonal multiple access (LDM-NOMA) and further evolved multimedia broadcast multicast service ...
Heydar Shariatzadeh   +2 more
doaj   +1 more source

An optimal polynomial approximation of Brownian motion [PDF]

open access: yes, 2020
In this paper, we will present a strong (or pathwise) approximation of standard Brownian motion by a class of orthogonal polynomials. The coefficients that are obtained from the expansion of Brownian motion in this polynomial basis are independent ...
Foster, James   +2 more
core   +3 more sources

The statistical properties analysis of reconstruction error in greedy pursuit algorithms: Taking OMP as an example

open access: yesElectronics Letters, 2023
Greedy pursuit algorithms are widely used in sparse signal processing for their computational efficiency. However, research on the reconstruction error properties is far from comprehensive.
Lei Xiao   +3 more
doaj   +1 more source

Weighted Selberg orthogonality and uniqueness of factorization of automorphic L-functions [PDF]

open access: yesForum Mathematicum, 2005
Let \(\Pi\) be an automorphic representation of \(\text{GL}_n\) over an algebraic number field and let \(L(s,\Pi)\) be the \(L\)-function attached to \(\Pi\). It was conjectured that there exists a unique factorization \[ L(s,\Pi)=L(s,\pi_1) \cdots L(s,\pi_k) \] of \(L(s,\Pi)\) into a product of \(L\)-functions attached to automorphic irreducible ...
Liu, Jianya, Ye, Yangbo
openaire   +1 more source

Computation Over Gaussian Networks With Orthogonal Components [PDF]

open access: yes, 2013
Function computation of arbitrarily correlated discrete sources over Gaussian networks with orthogonal components is studied. Two classes of functions are considered: the arithmetic sum function and the type function.
Chien-yi Wang   +3 more
core   +2 more sources

Approximation of correlation function and power spectral density with Sonin–Laguerre orthogonal functions

open access: yesVestnik Samarskogo Gosudarstvennogo Tehničeskogo Universiteta. Seriâ: Fiziko-Matematičeskie Nauki, 2008
Approximate capabilities of Sonin–Laguerre orthogonal functions with predefined parameter of orthogonal basis are studied. Parameters of approximation expression are evaluated, that are used for construction of the models of correlation function and ...
I. M. Kulikovskikh, S. A. Prokhorov
doaj   +1 more source

Home - About - Disclaimer - Privacy