Underlying Trend Extraction via Joint Ensemble Intrinsic Timescale Decomposition Algorithm and Matching Pursuit Approach
Sign Up to like & getrecommendations! Published in 2019 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01069-2
Abstract: AbstractTime series usually consist of an underlying trend and the irregularities. Therefore, the underlying trend extraction plays an important role in the analysis of the time series. This paper proposes a method which combines the… read more here.
Keywords: decomposition algorithm; trend extraction; trend; approach ... See more keywords
A trend extraction method based on logistic functions and envelopes
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DOI: 10.1038/s41598-021-04596-8
Abstract: A method of step characteristic trend extraction based on logistic functions and envelopes (LFEs) is proposed in this paper. Compared with the existing trend extraction methods, the LFE method can determine the starting position of… read more here.
Keywords: extraction; based logistic; method; trend extraction ... See more keywords
A Novel Accuracy-Constrained Scheme for Efficient Trend Extraction of Industrial Time-Series Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3554295
Abstract: Data trend extraction provides a useful means to qualitatively capture the underlying variations of time-series data. A class of algorithms is built upon segmentation and piecewise polynomial fitting, where the model complexity is primarily controlled… read more here.
Keywords: trend; accuracy constrained; trend extraction; time series ... See more keywords