HIGH-RESOLUTION SPECTRAL-ANALYSIS OF IMAGES USING THE PSEUDO-WIGNER DISTRIBUTION

Several methods for the computation of the discrete Wigner Distributio n (DWD) through the use of two-dimensional (2-D) analytic signals have been proposed, depending of the direction of the phase shift. Most of the methods cope the problem of aliasing of the DWD by lowpass prefil tering the spectrum but reducing spatial frequency support. In this co rrespondence, a new method for 2-D DWD free of aliasing and simultaneo usly increasing the spatial frequency support is proposed through the use of a new analytic signal. In this way, local spectral analysis for small window sizes can be accomplished improving the resolution but r educing cross terms and other interferences inherent in the DWD comput ation. For the three analytic images used in the comparison, the metho d proposed here also performs better than the other two for such tasks .