2 problems
- 0 votes0 replies0 views
General subgaussian bounds for multichannel sparse blind deconvolution
The channels are modeled by sparse random vectors, with the Bernoulli-Rademacher model used in the paper as a special case of Bernoulli-subgaussian distributions. General subgaussi…
- 0 votes0 replies0 views
Extension of the analysis to other subgaussian nonzero entries
The channels are assumed to have a Bernoulli-subgaussian model: their entries are zero with Bernoulli sparsity and have subgaussian nonzero values; the paper's analysis currently t…