Abstract:

According to the noise problem of voice communication, the denoising algorithm is studied. The study finds that the algorithm always has a contradiction between the convergence speed and the steady-state error. In order to improve the denoising capacity in the voice and decrease error, a new algorithm is proposed based on the G-SVSLMS algorithm. It uses the error arctangent function to change the step-size factor. And computer simulation demonstrates that the algorithm has the good convergence and steady-state performance. Finally, signals with noise are denoised by the traditional LMS algorithm, the traditional G-SVSLMS algorithm and the improved algorithm. The results show that the improved algorithm has the best noise cancellation effect amongst the three algorithms.

Key words: voice communication;noise cancellation;convergence speed;steady-state error