Frequency analysis of time series by polynomials orthogonal on the grid

The problem of finding periodic components in a given time series is examined. Our approach to the harmonic analysis is based on the integrated method resting on discrete transforms that employ orthogonal polynomials and trigonometric systems.

Saved in:
Bibliographic Details
Published inPattern recognition and image analysis Vol. 19; no. 3; pp. 562 - 564
Main Authors Sharapudinov, T. I., Luguev, T. S.
Format Journal Article
LanguageEnglish
Published Dordrecht SP MAIK Nauka/Interperiodica 01.09.2009
Springer Nature B.V
Subjects
Algorithms
Approximation
Computer Science
Fourier transforms
Frequencies
Harmonic analysis
Image Processing and Computer Vision
Mathematics
Pattern Recognition
Polynomials
Represented as Images and Signals
Software and Information Technologies for Analysis and Estimation of Data
Studies
Time series
Time Series
Orthogonal Polynomial
Periodic Component
Trigonometric System
Dagestan Scientific
Online AccessGet full text
ISSN1054-6618
1555-6212
DOI10.1134/S1054661809030249

Cover

More Information
Summary:The problem of finding periodic components in a given time series is examined. Our approach to the harmonic analysis is based on the integrated method resting on discrete transforms that employ orthogonal polynomials and trigonometric systems.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661809030249