Results 21 to 30 of about 2,232,474 (242)

SchizoNET: A robust and accurate Margenau-Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals [PDF]

, 2023
Objective. Schizophrenia (SZ) is a severe chronic illness characterized by delusions, cognitive dysfunctions, and hallucinations that impact feelings, behaviour, and thinking.
Khare, Smith K, Bajaj, Varun, Acharya, U Rajendra   +2 more
core   +1 more source

Spatial time-frequency distribution of cross term-based direction-of-arrival estimation for weak non-stationary signal

EURASIP Journal on Wireless Communications and Networking, 2019
In the radar array signal processing direction of arrival (DOA), the estimation of weak non-stationary signal is an important and difficult problem when both strong and weak signals are coexisting particularly because the weak non-stationary signals are ...
Shuai Shao, Aijun Liu, Changjun Yu, Hongjuan Yang, Yong Li, Bo Li   +5 more
doaj   +1 more source

Interevent-time distribution and aftershock frequency in non-stationary induced seismicity

Scientific Reports, 2021
The initial footprint of an earthquake can be extended considerably by triggering of clustered aftershocks. Such earthquake–earthquake interactions have been studied extensively for data-rich, stationary natural seismicity.
Richard A. J. Post, Matthias A. J. Michels, Jean-Paul Ampuero, Thibault Candela, Peter A. Fokker, Jan-Diederik van Wees, Remco W. van der Hofstad, Edwin R. van den Heuvel   +7 more
doaj   +1 more source

A Comparative Study of Time-Frequency Representations for Fault Detection in Wind Turbine [PDF]

, 2011
To reduce the cost of wind energy, minimization and prediction of maintenance operations in wind turbine is of key importance. In variable speed turbine generator, advanced signal processing tools are required to detect and diagnose the generator faults ...
CHARPENTIER, Jean-Frederic, G. Barakat, EL BOUCHIKHI, EL HOUSSIN, BENBOUZID, Mohamed, BARAKAT, Georges, V. Choqueuse, Choqueuse, Vincent, V., J.F. Charpentier, El.H. Bouchikhi, M.E.H. Benbouzid, CHOQUEUSE, Vincent   +10 more
core   +1 more source

An Adaptive Chirp Mode Decomposition-Based Method for Modal Identification of Time-Varying Structures

Mathematics
Modal parameters are inherent characteristics of civil structures. Due to the effect of environmental factors and ambient loads, the physical and modal characteristics of a structure tend to change over time.
Xiao-Jun Yao, Yu-Chun Lv, Xiao-Mei Yang, Feng-Yang Wang, Yong-Xiang Zheng   +4 more
doaj   +1 more source

Deep Neural Networks for Estimating Regularization Parameter in Sparse Time–Frequency Reconstruction

Technologies
Time–frequency distributions (TFDs) are crucial for analyzing non-stationary signals. Compressive sensing (CS) in the ambiguity domain offers an approach for TFD reconstruction with high performance, but selecting the optimal regularization parameter for
Vedran Jurdana
doaj   +1 more source

A high-resolution quadratic time-frequency distribution for multicomponent signals analysis

, 2001
The paper introduces a new kernel for the design of a high resolution time-frequency distribution (TED). We show that this distribution can solve problems that the Wigner-Ville distribution (WVD) or the spectrogram cannot.
Boashash, Boualem, Boashash, B, Barkat, Braham, Barkat, B   +3 more
core   +1 more source

Analyse des signaux multicomposante à modulation de fréquence linéaire par la transformation de Teager-Huang-Hough [PDF]

, 2014
A novel detection approach of linear FM (LFM) signals, with single or multiple components, in the time-frequency plane of Teager-Huang (TH) transform is presented.
BOUDRAA, Abdelouahab, BOUCHIKHI, Abdelkhalek, CEXUS, Jean-Christophe, CHONAVEL, Thierry, BOUDRAA, Abdel-Ouahab   +4 more
core   +1 more source

Separation and Extraction of Compound-Fault Signal Based on Multi-Constraint Non-Negative Matrix Factorization

Entropy
To solve the separation of multi-source signals and detect their features from a single channel, a signal separation method using multi-constraint non-negative matrix factorization (NMF) is proposed.
Mengyang Wang, Wenbao Zhang, Mingzhen Shao, Guang Wang   +3 more
doaj   +1 more source

APMEG: Quadratic Time–Frequency Distribution Analysis of Energy Concentration Features for Unveiling Reliable Diagnostic Precursors in Global Major Earthquakes Towards Short-Term Prediction

Applied Sciences
Earthquake prediction remains a significant challenge in seismology, and advancements in signal processing techniques have opened new avenues for improving prediction accuracy. This paper explores the application of Time–Frequency Distributions (TFDs) to
Fabian Lee, Shaiful Hashim, Noor’ain Kamsani, Fakhrul Rokhani, Norhisam Misron   +4 more
doaj   +1 more source