In this paper, we present new speech denosing methods based on some types of maximum a posteriori (MAP) filters applied in the wavelet domain. These methods take into account the statistical properties of the discrete wavelets transform (DWT) coefficients of speech signals. The experimental results are compared with those obtained in another paper published in this magazine, [1].
