A mechanism for switching adaptive filter algorithms in suddenly time-varying environments

This paper proposes an adaptive filtering system where a least-square algorithm and a stochastic gradient algorithm are alternately switched depending on its operational mode. The switching mechanism is quite simple and realized with a small amount of computational cost. Several numerical examples show that the resulting filter could achieve both sufficiently fast convergence and enhanced robustness in suddenly time-varying system environments.