Results 51 to 60 of about 1,433,403 (294)
A novel approach to extracting useful information from noisy TFDs using 2D local entropy measures
The paper proposes a novel approach for extraction of useful information and blind source separation of signal components from noisy data in the time-frequency domain. The method is based on the local Rényi entropy calculated inside adaptive, data-driven
Ana Vranković +2 more
doaj +1 more source
This paper explores three groups of time–frequency distributions: the Cohen’s, affine, and reassigned classes of time–frequency representations (TFRs).
David Bačnar +3 more
doaj +1 more source
ABSTRACT End‐of‐life conversations with adolescents and young adults (AYAs) with cancer rarely occur without the guidance of healthcare professionals. As a part of the ‘Difficult Discussions’ study, focused on palliative care and advance care planning discussions with AYAs with cancer, we investigated the factors that healthcare professionals identify ...
Justine Lee +9 more
wiley +1 more source
Time-Evolution of the Power Spectrum of the Black Hole X-ray Nova XTE J1550-564 [PDF]
We have studied the time evolution of the power spectrum of XTE J1550-564, using X-ray luminosity time series data obtained by the Rossi X-Ray Timing Explorer satellite.
Cohen, Leon +3 more
core +1 more source
Measurement-induced decoherence and Gaussian smoothing of the Wigner distribution function
We study the problem of measurement-induced decoherence using the phase-space approach employing the Gaussian-smoothed Wigner distribution function.
Ali +44 more
core +2 more sources
ABSTRACT Purpose Pediatric central nervous system (CNS) tumors often recur despite multimodality therapy. Although re‐irradiation (re‐RT) has historically been limited by concerns for severe late toxicities, modern techniques have renewed interest in this approach. Proton therapy provides dosimetric advantages that may enable curative re‐treatment with
Jin‐Ho Song +15 more
wiley +1 more source
Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions
Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localized in the time-frequency ...
Zhang Yimin, Amin Moeness G
doaj +1 more source
Estimation of Travel Time Distributions in Urban Road Networks Using Low-Frequency Floating Car Data
Travel times in urban road networks are highly stochastic. However, most existing travel time estimation methods only estimate the mean travel times, while ignoring travel time variances. To this end, this paper proposes a robust travel time distribution
Chaoyang Shi, Bi Yu Chen, Qingquan Li
doaj +1 more source
Bayesian spectral modeling for multiple time series [PDF]
We develop a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram distribution for each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean functions.
Cadonna, Annalisa +2 more
core +1 more source
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source

