Singular spectrum analysis for effective feature extraction in hyperspectral imaging [PDF]
As a very recent technique for time series analysis, Singular Spectrum Analysis (SSA) has been applied in many diverse areas, where an original 1D signal can be decomposed into a sum of components including varying trends, oscillations and noise ...
Zabalza, Jaime +4 more
core +4 more sources
Singular spectrum analysis as a tool for early detection of centrifugal compressor flow instability [PDF]
Centrifugal compressor machinery is subject to a potentially damaging phenomenon called surge at low mass flow rates. This effect may be preceded by a phenomena known as inlet recirculation — a flow reversal upstream of the impeller.
Liśkiewicz, Grzegorz +2 more
core +3 more sources
Cardiac and Respiratory Self-Gating in Radial MRI Using an Adapted Singular Spectrum Analysis (SSA-FARY) [PDF]
Cardiac Magnetic Resonance Imaging (MRI) is time-consuming and error-prone. To ease the patient's burden and to increase the efficiency and robustness of cardiac exams, interest in methods based on continuous steady-state acquisition and self-gating has been growing in recent years.
Sebastian Rosenzweig +3 more
openaire +4 more sources
Functional singular spectrum analysis [PDF]
In this paper, we develop a new extension of the singular spectrum analysis (SSA) called functional SSA to analyze functional time series. The new methodology is constructed by integrating ideas from functional data analysis and univariate SSA ...
Jordan Trinka +9 more
core +1 more source
Rainfall Forcasting in Medan City Using Singular Spectrum Analysis (SSA)
Singular spectrum analysis is a time series analysis that can be used for data that has seasonal effects. Rainfall is one example that has a seasonal effect. High rainfall has an impact on natural disasters such as floods. Medan city is the capital city of North Sumatra province which has quite high rainfall and is a lowland area, so it has the ...
null Silvia Agustina +3 more
openaire +1 more source
Cocoa price prediction in North Sumatra using Singular Spectrum Analysis (SSA) Algorithm
The implementation of agricultural development is basically aimed at increasing the welfare of the people, especially farmers, providing a source of foreign exchange through exports, supplying food and industrial raw materials, alleviating poverty, providing employment and improving people's income.
Fransiska, Sintia, Husein, Ismail
openaire +2 more sources
Forecasting of Rainfall in Sumatera Barat: Singular Spectrum Analysis (SSA) Application
Abstract West Sumatra has 2 peak of rainy seasons, October-November and March to May. The high intensity of rainfall causes West Sumatra has potential to floods. Precise forecasting is needed to be a reference for the government. One of the method can be used is SSA.
F Fitri, R Rahmat, A D Pengestuti
openaire +1 more source
Improving SSA Predictions by Inverse Distance Weighting
This paper proposes a method of utilizing spatial information to improve predictions in one dimensional time series analysis using singular spectrum analysis (SSA).
Richard O. Awichi , Werner G. Müller
doaj +1 more source
Fusing Nature with Computational Science for Optimal Signal Extraction
Fusing nature with computational science has been proved paramount importance and researchers have also shown growing enthusiasm on inventing and developing nature inspired algorithms for solving complex problems across subjects.
Hossein Hassani +2 more
doaj +1 more source
Singular spectrum analysis-based image sub-band decomposition filter banks
This paper presents a novel type of a filter bank for image decomposition that incorporates “singular spectrum analysis” (SSA). SSA is based on “singular value decomposition” (SVD).The presented filter banks provide good directional selectivity. Sub-band
Julia Evers +3 more
doaj +1 more source

