Results 111 to 120 of about 163,902 (301)
Raman signal extraction from CARS spectra using a learned-matrix representation of the discrete Hilbert transform. [PDF]
Camp CH.
europepmc +1 more source
Applications of Hilbert transform theory to numerical quadrature [PDF]
William E. Smith, J. N. Lyness
openalex +1 more source
Hilbert Transform and Applications [PDF]
When x(t) is narrow-banded, |z(t)| can be regarded as a slow-varying envelope of x(t) while the phase derivative ∂t[tan −1(y/x)] is an instantaneous frequency. Thus, Hilbert transform can be interpreted as a way to represent a narrow-band signal in terms of amplitude and frequency modulation.
openaire +3 more sources
Operator splitting for the Benjamin-Ono equation
In this paper we analyze operator splitting for the Benjamin-Ono equation, u_t = uu_x + Hu_xx, where H denotes the Hilbert transform. If the initial data are sufficiently regular, we show the convergence of both Godunov and Strang splitting.Comment: 18 ...
Dutta, R. +3 more
core
On the Design of Complex Coefficient Multifunction Filters
This work presents novel designs of multifunction topologies for simultaneously extracting the real and imaginary components of complex band‐pass and notch filters, which are derived from prototype first‐order low‐pass and high‐pass filters. The real and imaginary parts of the complex filters are then post‐processed to compute the instantaneous ...
Julia Nako +3 more
wiley +1 more source
Prediction of Protein-Protein Interactions in Arabidopsis, Maize, and Rice by Combining Deep Neural Network With Discrete Hilbert Transform. [PDF]
Pan J +5 more
europepmc +1 more source
Hilbert transforms, fractional integration and differentiation [PDF]
P. L. Butzer, Walter Trebels
openalex +1 more source
ABSTRACT Objective Body dissatisfaction is an important factor for the etiology and maintenance of eating disorders such as bulimia nervosa (BN). At the behavioral level, body dissatisfaction often manifests itself in excessive body‐related avoidance, thought to act as a negative reinforcer.
Johanna Xemaire +4 more
wiley +1 more source
ABSTRACT Objectives Generative Artificial Intelligence (AI) could transform how science is conducted, supporting researchers with writing, coding, peer review, and evidence synthesis. However, it is not yet known how eating disorder researchers utilize generative AI, and uncertainty remains regarding its safe, ethical, and transparent use.
Jake Linardon +8 more
wiley +1 more source

