Step Size Adjustment Principle for Variable Step Size Adaptive Filtering Algorithm

This program proposes the step size adjustment principle for variable step size adaptive filtering algorithms: during the initial convergence phase or when unknown system parameters change, the step size should be relatively large to achieve faster convergence speed and better tracking capability for time-varying systems. After algorithm convergence, regardless of the magnitude of the interference signal v(n) at the primary input, a very small adjustment step size should be maintained to achieve minimal steady-state misadjustment noise. The program, developed based on the variable step size formula, provides significant reference value for implementing adaptive filtering systems with optimized convergence and stability characteristics.