Can a signal that initially appears non-predictive become suitable for predictive modeling after representation recovery?
Raw Time Domain → NO-GO
Full Frequency Spectrum → LIMITED
Physically Aligned Frequency Band → Near GO
The signal did not change.
The representation changed.
Despite visible structure and high signal energy, cross-run consistency collapses, indicating absence of a stable predictive mapping.
Sliding consistency remains near zero across all evaluated windows, confirming that instability is structural rather than local or transient.
Moving into the frequency domain reveals partial reproducibility. Predictive structure exists but remains unstable.
Focusing on a physically meaningful frequency band significantly increases cross-run alignment and reveals near-stable predictive structure.
A signal that initially appears unusable may still contain valuable predictive information. Evaluating representation recovery before abandoning a signal can prevent the loss of viable predictive opportunities.
Many predictive systems are abandoned too early.
A signal that appears non-viable in one representation may become operationally useful when evaluated through a representation that better reflects the underlying physics of the system.
Predictive structure was not recovered by a better model.
Predictive structure was recovered by a better representation.