A spatial mask filter algorithm (SMF) for partial discharge (PD) pulse extraction is proposed in this then direct multiplication of coefficients at two adjacent scales is used to detect singularity points of the signal tain the last spatial mask filter. By multiplication of wavelet coefficients with the final mask filter and wavelet reconstruction process, partial discharge pulses are extracted. The results of digital simulation and practical experiment show that this method is superior to traditional wavelet shrinkage method (TWS). This algorithm not only can increase the signal to noise ratio (SNR), but also can preserve the energy and pulse amplitude.