Advanced Time Series Decomposition and Forecasting System

Create a sophisticated time series analysis framework capable of handling complex, non-linear temporal patterns with multiple decomposition techniques. Implement advanced methods including dynamic mode decomposition, wavelet analysis, and machine learning-based trend extraction. Develop a flexible system supporting multiple forecasting algorithms, uncertainty quantification, and automated feature extraction. Include comprehensive performance metrics and interpretable visualization of decomposition components.