Results 1 to 10 of about 751 (65)
IEEE Access, 2020 The conventional singular spectrum analysis is to divide a signal into segments where there is only one non-overlapping point between two consecutive segments.
Xinpeng Wang, Bingo Wing-Kuen Ling
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The Decomposition and Forecasting of Mutual Investment Funds Using Singular Spectrum Analysis
Entropy, 2020 Singular spectrum analysis (SSA) is a non-parametric method that breaks down a time series into a set of components that can be interpreted and grouped as trend, periodicity, and noise, emphasizing the separability of the underlying components and ...
Paulo Canas Rodrigues +3 more
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Automatic Grouping in Singular Spectrum Analysis
Forecasting, 2019 Singular spectrum analysis (SSA) is a non-parametric forecasting and filtering method that has many applications in a variety of fields such as signal processing, economics and time series analysis.
Mahdi Kalantari, Hossein Hassani
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Stats, 2020 A proper understanding and analysis of suitable models involved in forecasting currency exchange rates dynamics is essential to provide reliable information about the economy.
Paulo Canas Rodrigues +3 more
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Remote Sensing, 2021 This paper proposes a two dimensional quaternion valued singular spectrum analysis based method for enhancing the hyperspectral image. Here, the enhancement is for performing the object recognition, but neither for improving the visual quality nor ...
Yuxin Lin +6 more
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Sensors, 2020 The novelty and the contribution of this paper consists of applying an iterative joint singular spectrum analysis and low-rank decomposition approach for suppressing the spikes in an electroencephalogram.
Zikang Tian +4 more
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Desimal, 2023 A time series is a series of observations of a variable that is collected, recorded, or observed over a period of time in sequence. Singular Spectrum Analysis is a powerful method to analyze time series data by decomposing the original time series data ...
Debi Nur Fitriani +3 more
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Fusing Nature with Computational Science for Optimal Signal Extraction
Stats, 2021 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
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Forecasting Daily Exchange Rates
Revstat Statistical Journal, 2019 In this paper, daily exchange rates in four of the BRICS emerging economies: Brazil, India, China and South Africa, over the period 2001 to 2015 are considered.
Rahim Mahmoudvand +2 more
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Superpixel-Based Singular Spectrum Analysis for Effective Spatial-Spectral Feature Extraction
Applied Sciences, 2021 In the processing of remotely sensed data, classification may be preceded by feature extraction, which helps in making the most informative parts of the data emerge.
Subhashree Subudhi +3 more
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