Self-adaptive signal processing method based on polymorphic variable step size minimum mean square and medium

The invention discloses a self-adaptive signal processing method based on a polymorphic variable step size minimum mean square, which relates to the technical field of digital signal processing, and is characterized by comprising the following steps of: in a first stage, calculating a steady-state MSD between a filter coefficient W(n) and an optimal filter coefficient H(n), and selecting a largerstep size [mu]1 to obtain a higher convergence speed, calculating according to the step length factor mu1 to obtain the steady state MSD1 of the initial state in the first stage; in the third stage, calculating the minimum final steady-state MSDmin value is calculated, and calculating the optimal [mu] opt according to the final steady-state MSDmin value; in the second stage, adding a plurality oftransient states between the initial state MSD1 and the final state MSDmin, adjusting the transient state step length factor according to the multiple factor of the step length factor mu1 and the optimal step length factor muo