Efficient patient independent seizure detection system using WAF based hybrid feature extraction method and XGBoost classifier
This work presents a segment-based patient-independent (PI) seizure detection system
using hybrid feature extraction method. The segment-based approach offers increased …
using hybrid feature extraction method. The segment-based approach offers increased …
Numerical algorithms for estimating probability density function based on the maximum entropy principle and Fup basis functions
Estimation of the probability density function from the statistical power moments presents a
challenging nonlinear numerical problem posed by unbalanced nonlinearities, numerical …
challenging nonlinear numerical problem posed by unbalanced nonlinearities, numerical …
Generalization of orthogonal Kravchenko wavelets with convolutions of rectangular pulse and atomic functions
VF Kravchenko, YY Konovalov - 2021 Photonics & …, 2021 - ieeexplore.ieee.org
Construction of orthogonal Kravchenko wavelets is similar to Meyer wavelets. It begins from
Fourier transform of scaling function. It must be supported on the segment -4π/3;4π/3 and …
Fourier transform of scaling function. It must be supported on the segment -4π/3;4π/3 and …
[PDF][PDF] The Class of Atomic Exponential Basis Functions EFupn(x,ω)-Development and Application.
The purpose of this paper is to present the class of atomic basis functions (ABFs) which are
of exponential type and are denoted by EFupn (x, ω). While ABFs of the algebraic type are …
of exponential type and are denoted by EFupn (x, ω). While ABFs of the algebraic type are …
Comparison of various methods of digital signal processing based on atomic functions
N Trufanov, M Dolmatova, D Skvortsov… - AIP Conference …, 2023 - pubs.aip.org
The paper considers various methods of digital signal processing. The article contains
several sections that consistently reveal the stated task. Each section contains a description …
several sections that consistently reveal the stated task. Each section contains a description …
Neuro-adaptive PID helicopter controller based on atomic functions
OF Garcia–Castro, LE Ramos–Velasco… - The conference on Latin …, 2020 - Springer
A feature of wavelets is that signals can be analyzed in time-frequency, unlike Fourier
theory, which only does so in frequency. For many years, the most used wavelet functions for …
theory, which only does so in frequency. For many years, the most used wavelet functions for …
[PDF][PDF] Neuro-Adaptive PID Helicopter Controller Based on Atomic Functions
R Garcia–Rodriguez, MA Vega–Navarrete… - researchgate.net
A feature of wavelets is that signals can be analyzed in time-frequency, unlike Fourier
theory, which only does soin frequency. For manyyears, the most used wavelet functions for …
theory, which only does soin frequency. For manyyears, the most used wavelet functions for …