Temporal Channel Estimation for Generalized CSI Feedback
TAP is a one-shot neural framework that unifies the speed of DL with the mathematical interpretability of CS, replacing iterative pursuit with a lightweight 1D neural network that extracts dominant continuous propagation delays from temporal channel sequences via a differentiable sub-grid interpolation operator.