Search Paper
  • Home
  • Login
  • Categories
  • Post URL
  • Academic Resources
  • Contact Us

 

ALIASING FREE FOR MIXED SPECTRA FOR STABLE PROCESSES

google+
Views: 87                 

Author :  Rachid Sabre

Affiliation :  University of Burgundy, France

Country :  France

Category :  Machine Learning

Volume, Issue, Month, Year :  11, 15, September, 2021

Abstract :


This work focuses on the symmetric alpha stable processes with continuous time frequently used in modeling the signal with indefinitely growing variance when the spectral measure is mixed: sum of a continuous meseare and discrete measure. The objective of this paper is to estimate the spectral density of the continuous part from discrete observations of the signal. For that, we propose a method based on a sample of the signal at a periodic instant. The Jackson polynomial kernel is used for construct a periodogram. We smooth this periodogram by two spectral windows taking into account the width of the interval where the spectral density is nonzero. This technique allows to circumvent the phenomenon of aliasing often encountered in the estimation from the discrete observations of a process with a continuous time.

Keyword :  Spectral density, stable processes, periodogram, smoothing estimate, aliasing.

Journal/ Proceedings Name :  CS&IT

URL :  https://aircconline.com/csit/papers/vol11/csit111513.pdf

User Name : Brayden
Posted 20-10-2021 on 01:22:12 AEDT



Related Research Work

  • Gdgru-dta: Predicting Drug-target Binding Affinity Based On Gnn And Double Gru
  • A Comprehensive Study On Various Statistical Techniques For Prediction Of Movie Success
  • Understanding The Features Of Internet Of Things (iot) And Big Data Analysis
  • The Difference Of Machine Learning And Deep Learning Algorithms

About Us | Post Cfp | Share URL Main | Share URL category | Post URL
All Rights Reserved @ Call for Papers - Conference & Journals