The following pages link to Variational Mode Decomposition (Q4578962):
Displaying 50 items.
- Mode decomposition on surface-mounted cube (Q453569) (← links)
- Adaptive local iterative filtering for signal decomposition and instantaneous frequency analysis (Q739465) (← links)
- A class of iterative greedy algorithms related to Blaschke product (Q824236) (← links)
- Image characterization by fractal descriptors in variational mode decomposition domain: application to brain magnetic resonance (Q1619569) (← links)
- Performance analysis of four decomposition-ensemble models for one-day-ahead agricultural commodity futures price forecasting (Q1657097) (← links)
- Instantaneous voiced/non-voiced detection in speech signals based on variational mode decomposition (Q1660501) (← links)
- Geometric mode decomposition (Q1673853) (← links)
- Two-dimensional compact variational mode decomposition (Q1702599) (← links)
- A hybrid model combining variational mode decomposition and an attention-GRU network for stock price index forecasting (Q1979580) (← links)
- Improved pollution forecasting hybrid algorithms based on the ensemble method (Q1984969) (← links)
- Numerical analysis for iterative filtering with new efficient implementations based on FFT (Q1996218) (← links)
- Accurate estimation of glottal closure instants and glottal opening instants from electroglottographic signal using variational mode decomposition (Q2003226) (← links)
- Application of time-delay multiscale symbolic phase compensated transfer entropy in analyzing cyclic alternating pattern (CAP) in sleep-related pathological data (Q2025574) (← links)
- Multi-aspect renewable energy forecasting (Q2055561) (← links)
- Medical rolling bearing fault prognostics based on improved extreme learning machine (Q2060047) (← links)
- Forecasting by splitting a time series using singular value decomposition then using both ARMA and A Fokker Planck equation (Q2066065) (← links)
- The two-stage machine learning ensemble models for stock price prediction by combining mode decomposition, extreme learning machine and improved harmony search algorithm (Q2070766) (← links)
- Reconsider phase reconstruction in signals with dynamic periodicity from the modern signal processing perspective (Q2087415) (← links)
- Crude oil prices and volatility prediction by a hybrid model based on kernel extreme learning machine (Q2092197) (← links)
- Time series prediction using time-series decomposition and multi-reservoirs echo state network (Q2101241) (← links)
- Novel hybrid extreme learning machine and multi-objective optimization algorithm for air pollution prediction (Q2109442) (← links)
- Modeling and evaluation of dynamic degradation behaviours of carbon fibre-reinforced epoxy composite shells (Q2109764) (← links)
- A high-performance displacement prediction model of concrete dams integrating signal processing and multiple machine learning techniques (Q2110785) (← links)
- Runoff forecasting model based on variational mode decomposition and artificial neural networks (Q2130217) (← links)
- Conjectures on spectral properties of ALIF algorithm (Q2135539) (← links)
- A new approach to sparse decomposition of nonstationary signals with multiple scale structures using self-consistent nonlinear waves (Q2147704) (← links)
- Carbon price forecasting with variational mode decomposition and optimal combined model (Q2154383) (← links)
- Point and interval forecasting for carbon price based on an improved analysis-forecast system (Q2174335) (← links)
- An effective procedure for extracting the first few bridge frequencies from a test vehicle (Q2234172) (← links)
- Self-tuning variational mode decomposition (Q2235397) (← links)
- Dependence and risk spillover among hedging assets: evidence from Bitcoin, gold, and USD (Q2236215) (← links)
- A new hybrid optimization ensemble learning approach for carbon price forecasting (Q2247265) (← links)
- A novel hybrid decomposition-ensemble model based on VMD and HGWO for container throughput forecasting (Q2295254) (← links)
- Bearing fault diagnosis with kernel sparse representation classification based on adaptive local iterative filtering-enhanced multiscale entropy features (Q2298789) (← links)
- Multi-objective algorithm for the design of prediction intervals for wind power forecasting model (Q2307201) (← links)
- Breaking the limits: redefining the instantaneous frequency (Q2333094) (← links)
- Epoch estimation from emotional speech signals using variational mode decomposition (Q2334948) (← links)
- Eigenvalue decomposition of Hankel matrix-based time-frequency representation for complex signals (Q2334955) (← links)
- Convex optimization approach to signals with fast varying instantaneous frequency (Q2409037) (← links)
- Multiresolution mode decomposition for adaptive time series analysis (Q2659750) (← links)
- Convolutional neural networks based time-frequency image enhancement for the analysis of EEG signals (Q2675480) (← links)
- Successive multivariate variational mode decomposition (Q2675482) (← links)
- Kernel based multiscale partial Renyi transfer entropy and its applications (Q2685759) (← links)
- Fault feature extraction and fusion method for AUV with weak thruster fault based on variational mode decomposition and D-S evidence theory (Q2688603) (← links)
- Local parameter identification with neural ordinary differential equations (Q2690025) (← links)
- Quantile deep learning model and multi-objective opposition elite marine predator optimization algorithm for wind speed prediction (Q2692054) (← links)
- Sparse time-frequency decomposition based on dictionary adaptation (Q2955843) (← links)
- Multivariate empirical mode decomposition (Q3578089) (← links)
- Sparse Time-Frequency Decomposition for Multiple Signals with Same Frequencies (Q4595329) (← links)
- Carrier Frequencies, Holomorphy, and Unwinding (Q4596070) (← links)
