Blind Deconvolution of Sparse Signals Using Hierarchical Sparse Recovery and the HiHTP Algorithm: A Theoretical Analysis

This paper demonstrates that the HiHTP algorithm, leveraging hierarchical sparsity, can effectively solve the bi-sparse blind deconvolution problem with near-optimal sample complexity, making it a promising approach for applications like wireless communication.