Neural-Based SVD Algorithms for Adaptive TLS

The TLS method approximately solves a set of m linear equations in n × 1 unknowns x represented in matrix form by \({\mathbf{Ax}} = {\mathbf{b}}\) , where \({\mathbf{A}} \in \Re^{m \times n}\) is the data matrix, \({\mathbf{b}} \in \Re^{m \times 1}\) is the observation vector and m > n.