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

