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Raziyeh Takbiri

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Preprint Jul 2026

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization

A regularization-based framework combining a Huberized data fidelity with generalized folded-concave penalties (SCAD, MCP), and a two-block proximal alternating algorithm with backtracking (NLD-PALM) whose whole iterate sequence provably converges to critical points under the Kurdyka--\L{}ojasiewicz property, with local linear rates.

Raziyeh Takbiri · 0 citations