The Signal Identification Problem Using Regularized Sntln Algorithm

The problem explained in this paper is aimed to solve the following signal identification problemwhere and are inexact vectors using the SNTLNR (Structured Nonlinear Total Least Norm Regularization). Numerical experiments show that in most cases the problem to find exact values of vectors and is ill-conditioned. And using the original SNTLN algorithm does not output good results. That is the reason why the author offers to inject an extra regularization parameter λ into the algorithm .Theoretical justification and numerical experiments using Evans signal which is a sum of exponents are performed in this paper