Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Abstract—Hyperspectral unmixing aims at identifying the hidden spectral signatures (or endmembers) and their corresponding proportions (or abundances) from an observed hyperspect...
In this paper we produce a practical and efficient algorithm to find a decomposition of type n = k i=1 2si 3ti , si, ti ∈ N ∪ {0} with k ≤ c + o(1) ¡ log n log log n ....