In this paper, the clipping restoration of audio signals based on kernel Fisher discriminant (KFD) and the weighted codebook mapping (WCBM) in Modified Discrete Cosine Transform (MDCT) domain is proposed. First, the four clipping features are extracted according to the MDCT coefficients of audio signals. Second, the clipping feature parameters are used to train the optimal kernel Fisher classifier which is employed to detect the clipping. Finally, the WCBM of sub-band envelop is adopted to restore the clipping of audio signals. The test results indicate that the proposed algorithm can effectively remove the clipping distortion of audio signals and obviously outperforms the existing clipping restoration methods.