An Approach of Adaptive Signal Separation Based on Operator and Locally Orthogonal Constraint
Yi Xiao-lei, Silong Peng, Luan Shi-chao · 2015
An operator-based approach for adaptive signal separation is proposed by using the locally orthogonal constraint and adopting back projection strategy. The approach adaptively separates a signal into additive subcomponents and a residual signal, where the subcomponents are in the null space of the operators. Experiments, including simulated signals and a real-life signal, demonstrate the feasibility, efficiency, and practicability of the proposed approach for solving the mode mixing phenomenon.