Amanote Research

Amanote Research

    RegisterSign In

Time Series Data Analysis Using DFA

doi 10.1063/1.4866638
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2014

Authors
A. OkumotoT. AkiyamaH. SekinoT. Sumi
Publisher

AIP Publishing LLC


Related search

A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series

Frontiers in Physiology
Physiology
2019English

Time Series Data Analysis Using Probabilistic and Neural Network

2006English

Time Series Analysis and Data Relationships

Balkan Journal of Electrical and Computer Engineering
2015English

Time Series Classification via Topological Data Analysis

Transactions of the Japanese Society for Artificial Intelligence
Artificial IntelligenceSoftware
2017English

Predicting Financial Time Series Data Using Hybrid Model

Studies in Computational Intelligence
Artificial Intelligence
2016English

SARS Time Series Modeling and Spatial Data Analysis

DEStech Transactions on Computer Science and Engineering
2018English

Real Time QRS Complex Detection Using DFA and Regular Grammar

BioMedical Engineering Online
Nuclear MedicineRadiologyUltrasound TechnologyRadiologicalBiomaterialsImagingMedicineBiomedical Engineering
2017English

Biological Time Series Analysis Using a Context Free Language: Applicability to Pulsatile Hormone Data

PLoS ONE
Multidisciplinary
2014English

Scale Space Multiresolution Correlation Analysis for Time Series Data

Computational Statistics
Computational MathematicsStatisticsUncertaintyProbability
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy