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This lecture covers the Spike-Wigner model, focusing on low-rank matrix factorization, replica method, and Gaussian matrices. It delves into concepts like additive white Gaussian noise, matrix components, and iid Gaussian matrices. The lecture also discusses the denoising process, sparse signals, and the replica symmetry ansatz.