Enhanced LMS Algorithm with Application in Noise Cancellation

An improved LMS algorithm and its application in noise cancellation. Building upon traditional fixed-step and variable-step LMS algorithms, this enhanced variable-step method utilizes exponential cubic instantaneous error magnitude with a forgetting factor for simultaneous step-size adjustment, effectively balancing convergence speed and steady-state error trade-offs.