Results 71 to 80 of about 2,572 (160)

Recent Advances in Automatic Modulation Classification Technology: Methods, Results, and Prospects

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
As an essential technology for spectrum sensing and dynamic spectrum access, automatic modulation classification (AMC) is a critical step in intelligent wireless communication systems, aiming at automatically recognizing the modulation schemes of received signals.
Qinghe Zheng, Xinyu Tian, Lisu Yu, Abdussalam Elhanashi, Sergio Saponara, Eugenio Vocaturo   +5 more
wiley   +1 more source

Enhanced Multidimensional Nonlinear Correlation via Phase Reconstruction and Broad Learning for Distributed Fusion Detection of Weak Pulse Signals

International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.
Due to the intricate chaotic environments encountered in distributed sensor applications, such as sea monitoring, machinery fault diagnosis, and EEG weak signal detection, neural networks often face insufficient data to effectively carry out detection tasks.
Liyun Su, Xuelian Long, Alexander Hošovský   +2 more
wiley   +1 more source

A New Jammer Suppression Method in MIMO Radar Using Matrix Pencil Method and Generalized Likelihood Ratio Test

International Journal of Antennas and Propagation, 2015
We propose a new algorithm to suppress the jammer signals and estimate the direction of arrival (DOA) of the signal of interest (SOI) for collocated MIMO radar by using the matrix pencil method (MPM) and the generalized likelihood ratio test (GLRT).
Kang-in Lee, Wonjune Kang, Young-Seek Chung, Hoon-Gee Yang, Jong Mann Kim   +4 more
doaj   +1 more source

Asymptotic regime for impropriety tests of complex random vectors

, 2020
Impropriety testing for complex-valued vector has been considered lately due to potential applications ranging from digital communications to complex media imaging. This paper provides new results for such tests in the asymptotic regime, i.e.
Bihan, Nicolas Le, Chatelain, Florent, Manton, Jonathan H.   +2 more
core  

Variable selection in semiparametric regression modeling

, 2008
In this paper, we are concerned with how to select significant variables in semiparametric modeling. Variable selection for semiparametric regression models consists of two components: model selection for nonparametric components and selection of ...
Li, Runze, Liang, Hua
core   +2 more sources

Influence Diagnostics in Gamma‐Pareto Regression Model With Cook’s Distance for Standardized and Adjusted Pearson, Deviance, and Likelihood Residuals: Simulation and Application

Journal of Mathematics, Volume 2025, Issue 1, 2025.
Influential analysis is the main diagnostic process to obtain reliable regression results. Same is true for the generalized linear model (GLM). The present article empirically compares the performance of different residuals of the gamma‐Pareto regression model (G‐PRM) to detect the influential points.
Nasir Saleem, Atif Akbar, Ateeq Ur Rehman Irshad, Burhanettin Ozdemir, Javaria Ahmad khan, Ljubisa Kocinac   +5 more
wiley   +1 more source

Subspace‐based distributed target detection method with small training data samples

IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2541-2551, December 2024.
Considering the improvement of radar resolution and some problems in the practical application of adaptive target detection, the target is modelled by subspace, and two detectors are proposed based on GLRT and Wald tests respectively. Finally, the CFAR theory analysis and performance simulation analysis of the detectors are carried out.
Guangfen Wei, Zhan Zhou, Yuan Luo, Tao Jian, Xiaoming Tang   +4 more
wiley   +1 more source

Reliable Fault Detection and Diagnosis of Large-Scale Nonlinear Uncertain Systems Using Interval Reduced Kernel PLS

IEEE Access, 2020
Kernel partial least squares (KPLS) models are widely used as nonlinear data-driven methods for faults detection (FD) in industrial processes. However, KPLS models lead to irrelevant performance over long operation periods due to process parameters ...
Radhia Fezai, Kamaleldin Abodayeh, Majdi Mansouri, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Hazem Nounou, Mohamed Nounou, Hassani Messaoud   +7 more
doaj   +1 more source

Efficient Direct Detection of M-PAM Sequences with Implicit CSI Acquisition for The FSO System

, 2014
Compared to on-off keying (OOK), M-ary pulse amplitude modulation (M-PAM, M>2) is more spectrally efficient. However, to detect M-PAM signals reliably, the requirement of accurate channel state information is more stringent.
Kam, Pooi-Yuen, Song, Tianyu
core   +1 more source

Double‐hierarchy heterogeneous structural detection of a subspace signal for distributed multiple‐input multiple‐output radar

IET Radar, Sonar &Navigation, Volume 18, Issue 11, Page 2238-2246, November 2024.
The authors consider the problem of adaptive target detection in the background of interference and heterogeneous disturbance, for a MIMO radar system equipped with widely separated distributed antennas. By resorting to a two‐step procedure, a double‐hierarchy heterogeneous structural detector (MIMO‐GLRTdh) is proposed in accordance with generalised ...
Weiping Li, Weichao Chen, Lei Zuo
wiley   +1 more source