The Maximum Likelihood (ML) algorithm for estimating the clutter mean, λ_c.

The algorithm iteratively removes 10% of the highest count values and assesses the likelihood that the remaining originated from the clutter distribution. It performs a single dimensional search on a grid of hypothesized values of λ_c. The vector is abbreviated notation to show evaluation at all values of m_i,j.