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Showing 1 to 13 of 13 for “"singular spectrum analysis (SSA)"”.
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Developing Pattern and Anomaly Detection Methods in Influence Campaigns
… methods included moving average models and Singular Spectrum Analysis (SSA). Machine learning techniques included the use of an autoencoder and an LSTM neural network. These methods provide different ways to visualize and characterize the data. Together, the approaches offer a holistic …
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A study of sub-orbital and millennial-scale climate variability over the past 1.4 million years in the Northern Atlantic
… methods have been employed including multi-taper analysis with different numbers of Slepian tapers, Singular Spectrum Analysis (SSA), noise background estimation methods (Mann and Lees, 1996), Akaike' s Information Criterion for AR(n) model fitting to a data set, and chi-square distribution …
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Feature extraction and data reduction for hyperspectral remote sensing Earth observation
Earth observation and land-cover analysis became a reality in the last 2-3 decades thanks to NASA airborne and spacecrafts such as Landsat. Inclusion of Hyperspectral Imaging (HSI) technology in some of these platforms has made possible acquiring large data sets, with high potential in analytical …
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Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods
… equities via two very different time series analysis techniques: 1) autoregressive integrated moving average (ARIMA), and 2) singular spectrum analysis (SSA). Approximately 40% of the S&P 500 stocks are analyzed. Forecasts are generated for one and five days ahead using daily closing prices. …
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A novel statistical signal processing approach for analysing high volatile expression profiles.
… and signal processing algorithm based on Singular Spectrum Analysis (SSA) for extracting the signal of bicoid gene. Using the proposed SSA algorithm which is based on the minimum variance estimator, the extraction of bcd signal from its noisy profile is considerably improved compared to …
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Advanced modelling and analytics for effective change and anomaly detection in hyperspectral images.
… methods. The second lightweighted network, SSA-LHCD, combines the singular spectrum analysis (SSA) as a preprocessing step with a 2D self-attention module, further improving the detection accuracy while reducing the number of the hyperparameters of the model. Experimental results demonstrate …
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Theoretical advancements and applications in singular spectrum analysis.
Singular Spectrum Analysis (SSA) is a nonparametric time series analysis and forecasting technique which has witnessed an augment in applications in the recent past. The increased application of SSA is closely associated with its superior filtering and signal extraction capabilities which also …
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Overlapped speech and music segmentation using singular spectrum analysis and random forests
… innovative method of audio decomposition using Singular Spectrum Analysis (SSA) that has been studied extensively and has received increasing attention in the past two decades as a time series decomposition method with many applications; adoption and development of driven classification methods; …
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An Overview on the performance of sprinters with lower limb amputation/impairment in Paralympic Games.
… exercise) based on the novel approach of Singular Spectrum Analysis (SSA). The results of forecast indicate that the Paralympians will enhance their performance in 2015 Paralympic Games.
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Quasi-periodic oscillations in observed and simulated temperatures, and implications for the future
… models (GCMs). We employ a non-parametric Singular Spectrum Analysis (SSA) approach that enables the study of non-periodic – so-called “quasi-periodic” oscillations (QPOs). SSA can resolve QPOs that have periods up to half the length of the record, something which is impossible using …
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Causality analysis advancements and applications by subspace-based techniques.
Causality analysis remains a fundamental research question and the ultimate objective for many scientific studies. Alongside the increasing speed of data science and technological advancements, as well as the overwhelming existence of complex systems in social science and economics studies, …
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Strategic Environmental Assessment for Municipal Water Demand Based on Climate Change
… of climatic factors, using a combination of a Singular Spectrum Analysis (SSA) technique, three hybrid computational intelligence algorithms and an ANN model. These hybrid algorithms include a Lightning Search Algorithm (LSA-ANN), a Gravitational Search Algorithm (GSA-ANN) and Particle Swarm …
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Analyzing the temperature dimension of University of Illinois electricity demand
Made available in DSpace on 2016-05-04T21:49:06Z (GMT). No. of bitstreams: 2 GUERRERO-THESIS-2015.pdf: 2270398 bytes, checksum: 440c53b436df1200cd5e84da507ec2d7 (MD5) LICENSE.txt: 4213 bytes, checksum: fa95ff9e926f13b985b5f5e38e2af56e (MD5) Previous issue date: 2015-07-22