In this work, Empirical Mode Decomposition (EMD) is applied to the problem of Direction of Arrival (DoA) estimation as a preprocessing method. The preprocessing stage consists of separate denoising the rows of the array data matrix where each row corresponds to the output of a particular array sensor. The chosen denoising algorithm is an iterative interval-thresholding variant of EMD. After the denoising stage, MUSIC is applied to construct the EMD-enhanced spatial spectrum. The proposed EMD-based array denoising scheme is based on the principles of wavelet-thresholding, thus it is comparable to wavelet-based denoising of array matrix. The results show that, especially in low-SNR scenarios, the estimation performance of MUSIC is significantly enhanced when denoising is applied to array data matrix prior to DoA estimation stage. © EURASIP, 2009.