Divide and conquer: A fast matrix inverse method of iterative adaptive approach for real beam superresolution
Yongchao Zhang, Yin Zhang, Wenchao Li, Yulin Huang, Jianyu Yang · 2014
This paper present an efficient matrix inverse algorithm of the recent iterative adaptive approach (IAA) in the application of real beam superresolution (RBS). Based on the inherently band structure of the covariance matrix, the computational complexity of inverse can be reduced by avoiding the computation of zero elements. To achieve this, the divide and conquer (D&C) method will be introduced to fast inverse the covariance matrix. Numerical simulations illustrate the efficiency of the proposed algorithm.