自适应噪声抵消算法优化与FPGA 实现.

To deal with the problem of resource occupation and computing speed of adaptive noise cancellation algorithm on FPGA, signum-LMS algorithm that can reduce the computation complexity is proposed after analyzing its advantages over the traditional LMS algorithm, and then an adaptive noise canceller based on state machine and signum-LMS algorithm is designed. First, the audio codec chip WM8731 is used to sample the speech signal with noise and noise signal, and then the canceller based on FPGA runs the signum-LMS algorithm to reduce the noise signal, finally, the audio codec output the clean speech signal. Experimental results show that the noise canceller can reduce the noise quickly and effectively. [ABSTRACT FROM AUTHOR]