A stochastic system with colored correlation between white noise and colored noise is investigated theoretically. A general Fokker鈥揚lanck equation of the system is derived by using a standard method. We discuss a bistable system with colored correlation between additive white noise and multiplicative ...
It is found that effects previously claimed to be a consequence of the presence of colored noise in the context of loss-noise models can be also explained by white gain noise, except for the existence of two time regimes in the early decay of intensity correlation functions....
This package contains thedenoising filterfor additive stationary white/colored(a.k.a. correlated) Gaussian noise based on the adaptive curvelet thresholding (ACT) method presented in: N. Eslahi and A. Aghagolzadeh, "Compressive Sensing Image Restoration Using Adaptive Curvelet Thresholding and Nonloca...
White noise Colored noise Methodology Spectrum subtraction Wiener filtering Kalman filtering Method I: Spectrum Subtraction Assume we know the psd of noise Diagram for Spectrum Subtraction FFT Noisy speech y(n) Phase IFFT Subtraction of Enhanced speech x(n) ...
Considering an optical bistable system with cross-correlated additive white noise and multiplicative colorednoise, we study the effects of correlation between the noises on the correlation function C(s) using theunified colored noise approximation and the Stratonovich decoupling ansatz formalism. The effect...
In this paper, we studied the instability probability density evolution of the bistable system driven by Gaussian colored noise and white noise. Firstly, the bistable system is linearized in the initial area by applying ΩΩ mathContainer Loading Mathjax expansion theory of the Green function. Next...
The measured trajectory value was simulated by adding Gaussian white noise to the theoretical calculating value of the trajectory. Modeling of Dual-Spinning Projectile with Canard and Trajectory Filtering [[??].sub.CSJ] (t) denotes the covariance of the zero-mean colored Jerk noise, and w(t) ...
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where \(\mathbf{E}\) is a white noise whose entries follow the standard normal distribution independently. Moreover, \(\odot\) represents pointwise multiplication. Moving on to the decoder, it also includes two MLPs and two GNNs, which are the same as the MLPs and GNNs in the encoder, ...
Here this fast KL transform is used for Wiener filtering of images degraded by white or colored noise. Comparisons with "Generalized Wiener Filtering" [1] and conventional Fourier domain filtering are made. It is shown that the two-dimensional Wiener filter is nonseparable so that two-dimensional...