Fractional lower order moments

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August undefined, 2024

WebMay 9, 2024 · The matrices based on fractional lower order moments for the extended sensor array outputs, which have been shown to have similar forms to the covariance … http://www.ece.mcgill.ca/~bchamp/Papers/Jounal/SignalProcessing2015.pdf

The Fractional Lower Order Moments Based ESPRIT Algorithm …

WebApr 13, 2024 · Fractional lower order S transform. The mechanical fault signal containing α stable distribution noise can be expressed as (6) Where x(t) is fault signal, v(t) is SαS distribution noise, t = 1,2,⋯,N.We apply fractional lower order moment to ST, and define fractional lower order S transform as (7A) (7B) Where the sole shop llc

An Explicit Wavelet Method for Solution of Nonlinear Fractional …

WebAn explicit method for solving time fractional wave equations with various nonlinearity is proposed using techniques of Laplace transform and wavelet approximation of functions and their integrals. To construct this method, a generalized Coiflet with N vanishing moments is adopted as the basis function, where N can be any positive even number. As has been … Webthe fractional lower order moment (FLOM), referred to as the FLOM detector. In this approach, the PU signal, the noise parameters and the channel gain are all assumed … WebFeb 5, 2024 · Xudong Dong et al: Fractional low-order moments based DOA estimation with co-prime array in presence of impulsive noise where 0 < b < α 2 is the order of the … myriam boucharenc

$Spectrum sensing based on fractional lower order …$

Image Analysis by Fractional-Order Gaussian-Hermite Moments

WebSep 1, 2001 · For instance, the fractional lower-order moment (FLOM)-based and the phased fractional lower-order moment (PFLOM)-based algorithms have been proposed to enhance the robustness of the conventional ... WebJun 7, 2024 · In impulsive noise modeled by the symmetric alpha stable ($S\alpha S$) distribution, the detector based on fractional lower order moments (FLOM) is a good … myriam bourhailWebIn mathematics, the moments of a function are certain quantitative measures related to the shape of the function's graph. If the function represents mass density, then the zeroth … myriam boucher

"WebAug 3, 2024 · Applications of Fractional Lower Order Synchrosqueezing Transform Time Frequency Technology to Machine Fault Diagnosis. Synchrosqueezing transform (SST) is a high resolution time frequency representation technology for nonstationary signal analysis. ... “Signal processing with fractional lower order moments: stable processes … " - Fractional lower order moments

Fractional lower order moments

Fractional lower order moment based adaptive …

WebAbstract: We propose several classes of fractional lower order moment (FLOM)-based matrices that can be used with MUSIC to estimate the DOAs of independent circular signals embedded in additive S/spl alpha/S (symmetric /spl alpha/ stable) noise (e.g., sea clutter). We run simulations with different choices of the FLOM parameter p for our FLOM-based … WebNov 26, 2024 · Professor Nikias’s team and the related researchers who continue to study this situation defined fractional lower-order statistics (FLOS), which can replace the SOS used in the conventional signal processing methods, including robust covariation (ROC) , fractional lower-order moment (FLOM) [13, 14], and phased fractional lower-order …

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is p order moment … WebThe fractional lower order moments, with both positive and negative orders, and their applications to signal processing are introduced. Then we present a new algorithm for blind channel identification using the output fractional lower order moments, and the /spl alpha/-Spectrum, a new spectral representation for impulsive signals, is introduced.

WebJan 1, 2024 · This paper presents a novel spectrum sensing scheme based on fractional lower order moment (FLOM) for the detection of a primary user in non-Gaussian … WebJun 1, 2015 · This paper presents a novel spectrum sensing scheme based on fractional lower order moment (FLOM) for the detection of a primary user in non-Gaussian …

WebJul 28, 2024 · In , the authors proposed new subspace methods based on fractional lower-order moment (FLOM) covariance estimates, and the robust covariation-based MUSIC (ROC-MUSIC) used covariations under the assumption that the signals and the additive noise are jointly SαS, which does not hold always because signals of interest are … WebAug 1, 2024 · The filtered-x least mean p-power algorithm—based on minimizing the fractional lower order moment—gives a robust performance for impulsive ANC; however, its convergence speed is very slow.

WebAug 26, 2024 · As fractional lower-order moments can only be applied on symmetric α-stable random variables, the energy redistribution method is used, so reverberation …

WebApr 7, 2024 · In order to solve the above problems, the method of fractional low-order moment is proposed in Ma and Nikias. 7 Due to the contribution of Ma and Nikias, 7 the existing subspace-based algorithm, such as Multiple Signal Classification (MUSIC) 8 and Signal Parameters via Rotational Invariance Techniques (ESPRIT), 9 can be used in the … myriam bourasseauWebJul 1, 1994 · These moments are called fractional lower-order moments (FLOM's). Let X be a SaS random variable with dispersion "Y > O. Define the norm of X as IIX/la = { ~-: (5) If X, Y are jointly SaS, the distance between X and Y is defined as d(X, Y) = /IX - Y/la (6) where C(p, a) depends only on a and p. Thus, the distance between two SaS random ... the sole sistasWebAug 28, 2014 · Fractional-Order Moments. Commonly seen in physics (and statistics) are the concepts of moments of order zero (mass), one (center of mass), and two (moment … the sole sisters