New research article published

Posted on

Time-series forecasting is an important, yet often very complex task due to inherent complex nonlinear dynamics and random fluctuations. Signal decomposition is often applied to separate deterministic from random signal parts to support the construction of forecasting models. In our new research, Temporal Dictionary Learning for Time-Series Decomposition, we demonstrate the application of Dictionary Learning […]