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EMD of Gaussian White Noise: Effects of Signal Length and Sifting Number on the Statistical Properties of Intrinsic Mode Functions
(World Scientific Publishing, 2009-09)
This work presents a discussion on the probability density function of Intrinsic Mode Functions (IMFs) provided by the Empirical Mode Decomposition of Gaussian white noise, based on experimental simulations. The influence ...
Identifying the stiffness and damping of a nonlinear system using its free response perturbed with Gaussian white noise
(2020-05-01)
Measurement uncertainty can affect the accuracy of estimating parameters of vibrating systems. This article is concerned with the development of a method for estimating parameters from the free vibration response of a ...
OFDM tolerance to additive white Gaussian and laser phase noises in optical heterodyning systems accompanied by the feasible pilot-assisted equalization
(Optical Society of Japan, 2020)
It is well known that the performance of orthogonal frequency division multiplexing (OFDM) is limited by phase noise, which depends on the laser linewidths for coherent-detection radio over fiber (RoF) systems. In this ...
TAR modeling with missing data when the white noise process is not Gaussian
(2014)
En esta investigación, proponemos tres familias de modelos TAR: (1) Modelos TAR con ruidos t, (2) Modelos TAR para el logaritmo de series positivas, y (3) Modelos TAR donde el proceso del ruido tiene distribución Gamma ...
Signal-to-noise ratio constrained feedback control: discrete-time robust stability analysis
(IET Control Theory and Applications, 2020)
Effectiveness of Grey coding in an AWGN digital channel data transmissionEfectividad de la codificación grey en la transmisión de datos en un canal digital AWGN
(Universidad Politécnica Salesiana, 2016)
Effectiveness of Grey coding in an AWGN digital channel data transmission
(2015-07)
El presente artículo presenta el análisis de la probabilidad
de error en la transmisión de datos en un canal
digital con ruido blanco gaussiano aditivo (AWGN),
considerando una cadena de bits codificada con el
código ...
Inverse Modeling of Moving Average Isotropic Kernels for Non-parametric Three-Dimensional Gaussian Simulation
(Springer, 2016)
Moving average simulation can be summarized as a convolution between a spatial kernel and a white noise random field. The kernel can be calculated once the variogram model is known. An inverse approach to moving average ...