Trends by adaptive Fourier decomposition and application in prediction
DOI10.1142/S0219691324500140zbMATH Open1547.4101MaRDI QIDQ6591723
Chitin Hon, Wei Qu, Tao Qian, Zige Liu, Jian Zhao
Publication date: 22 August 2024
Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)
interpolationTakenaka-Malmquist systemrational orthogonal systemprediction of time seriescomplex Hardy spacestochastic adaptive Fourier decompositiontrends of data
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Approximation by rational functions (41A20) Prediction theory (aspects of stochastic processes) (60G25) Hardy spaces (30H10)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Analytic unit quadrature signals with nonlinear phase
- Some remarks on greedy algorithms
- Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network
- Adaptive Fourier series---a variation of greedy algorithm
- A Theory on Non-Constant Frequency Decompositions and Applications
- Boundary derivatives of the phases of inner and outer functions and applications
- Two‐dimensional adaptive Fourier decomposition
- \(n\)-best kernel approximation in reproducing kernel Hilbert spaces
- Sparse representations of random signals
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