Results 11 to 20 of about 4,499,288 (288)

Clutter Suppression and Rotor Blade Feature Extraction of a Helicopter Based on Time–Frequency Flash Shifts in a Passive Bistatic Radar

open access: yesAtmosphere, 2022
This paper presents a passive bistatic radar (PBR) configuration using a global navigation satellite system as an illuminator of opportunity for the rotor blade feature extraction of a helicopter.
Zibo Zhou   +4 more
doaj   +1 more source

On positivity of time-frequency distributions [PDF]

open access: yesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
Consideration is given to the problem of how to regard the fundamental impossibility with time-frequency energy distributions of Cohen's class always to be nonnegative and, at the same time, to have correct marginal distributions. It is shown that the Wigner distribution is the only member of a large class of bilinear time-frequency distributions that ...
Janssen, A.J.E.M., Claasen, T.A.C.M.
openaire   +2 more sources

A Time-Frequency Distribution-Based Approach for Decoding Visually Imagined Objects Using EEG Signals

open access: yesIEEE Access, 2020
This paper investigates the possibility of using visual imagery tasks, which are mental imagery tasks that involve imagining the images of objects perceptually without seeing them, as a control paradigm that can increase the control's dimensionality of ...
Rami Alazrai   +4 more
doaj   +1 more source

Time frequency distributions of TMJ sounds [PDF]

open access: yesJournal of Oral Rehabilitation, 1991
SummaryFor analysis of time‐varying signals such as the TMJ sounds, it is often desirable to know how the frequency components change with time, using methods of time‐frequency analysis. The aim of this study was to compare two of the most familiar methods for energy density representation with a newly developed technique. The sounds were recorded with
Widmalm, Sven-Erik   +2 more
openaire   +3 more sources

Impulse Feature Extraction of Bearing Faults Based on Convolutive Nonnegative Matrix Factorization

open access: yesIEEE Access, 2020
The detection of bearing faults is of great significance for the stable operation of rotating machinery. Apart from detection by analysing the vibration response, another powerful strategy is to extract the periodic impulse excitation directly induced by
Lin Liang   +5 more
doaj   +1 more source

A New Perspective of Wind Power Grid Codes Under Unbalanced and Distorted Grid Conditions

open access: yesIEEE Access, 2020
Increasing penetration of wind power has led power system operators worldwide to develop new grid codes for integration of a wind power plant (WPP) onto the grid. According to the grid codes issued by Federal Energy Regulatory Commission (FERC) in the US,
Md Moinul Islam   +3 more
doaj   +1 more source

Time-Frequency Distribution Analysis for Electroencephalogram Signals of Patients With Schizophrenia and Normal Participants

open access: yesInternational Clinical Neuroscience Journal, 2022
Background: Psychiatrists diagnose schizophrenia based on clinical symptoms such as disordered thinking, delusions, hallucinations, and severe distortion of daily functions.
Malihe Sabeti   +4 more
doaj   +1 more source

Newly discovered brown dwarfs not seen in microlensing time scale frequency distribution? [PDF]

open access: yes, 1999
The 2-Micron All Sky Survey (2MASS) (Skrutskie et al. 1997) and the DEep Near Infrared Survey of the southern sky (DENIS) (Epchtein et al. 1997) have revealed a heretofore unknown population of free brown dwarfs that has extended the local mass function ...
S. J. Peale, Zhao H. S., Zhao H. S.
core   +4 more sources

Feature Extraction of Impulse Faults for Vibration Signals Based on Sparse Non-Negative Tensor Factorization

open access: yesApplied Sciences, 2019
The incipient damages of mechanical equipment excite weak impulse vibration, which is hidden, almost unobservable, in the collected signal, making fault detection and failure prevention at the inchoate stage rather challenging.
Lin Liang   +4 more
doaj   +1 more source

A Deep Learning Framework for Decoding Motor Imagery Tasks of the Same Hand Using EEG Signals

open access: yesIEEE Access, 2019
This study aims to increase the control's dimensions of the electroencephalography (EEG)-based brain-computer interface (BCI) systems by distinguishing between the motor imagery (MI) tasks associated with fine body-parts of the same hand, such as the ...
Rami Alazrai   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy