Wavelet Analysis & Feature Resolution
Background Fourier transform fails with non-stationary signals because it lacks time localization. Wavelet analysis solves this by using scalable, …
| No. | Category | Sub-topic | Core Question |
|---|---|---|---|
| 1-1 | Modeling Paradigm & Dynamics | Multi-Physics Field Coupling | How to collaboratively model energy exchange between microscopic particles and macroscopic fluids? |
| 1-2 | Modeling Paradigm & Dynamics | Stochastic Dynamics & Risk Quantification | With highly uncertain environmental parameters, how can stochastic mathematics predict the probability of system evolution? |
| 1-3 | Modeling Paradigm & Dynamics | Chaotic Evolution in Complex Systems | How do tiny deviations in initial conditions cause long-term prediction failure, and what is the underlying topological mathematical structure? |
| 2-1 | Discrete Structure & Logic | Topological Robustness in Complex Networks | How does discrete graph theory define the fragility and self-healing capacity of global distribution networks? |
| 2-2 | Discrete Structure & Logic | Combinatorial Optimization & NP-Hardness | When search spaces grow exponentially, how can mathematical structures help algorithms find approximate global optima? |
| 2-3 | Discrete Structure & Logic | Logic Algebra & Formal Verification | How does predicate logic transform into the safety verification cornerstone for autonomous driving or kernel design? |
| 3-1 | Dynamic Control & Hybrid Systems | Stability Analysis of Switching Systems | When a physical system switches between multiple operating modes, how do you ensure continuous trajectories do not diverge? |
| 3-2 | Dynamic Control & Hybrid Systems | Impulsive Control & Non-Continuous Scheduling | How can high-frequency non-continuous control commands achieve minimum-error coverage of precise continuous motion? |
| 3-3 | Dynamic Control & Hybrid Systems | Collaborative Modeling in Hybrid Automation | What is the mathematical coordination mechanism of AI discrete decisions and physical continuous execution in hybrid dynamic systems? |
| 4-1 | Signal Processing & Frequency Domain | Quantum Reconstruction of Signal Processing | How can quantum algorithms reduce the complexity of traditional digital signal processing from polynomial to logarithmic order? |
| 4-2 | Signal Processing & Frequency Domain | Wavelet Analysis & Feature Resolution | For non-stationary signals, how can variable-step translation achieve ultra-precise capture of local information? |
| 4-3 | Signal Processing & Frequency Domain | Compressive Sensing & Information Sparsity | How to break the Nyquist sampling theorem and reconstruct complete high-dimensional information from very few observations? |
Background Fourier transform fails with non-stationary signals because it lacks time localization. Wavelet analysis solves this by using scalable, …
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