Two-Dimensional Polynomial Phase Signals: Parameter Estimationand Bounds
Multidimensional Systems and Signal Processing
Improved bi-dimensional EMD and Hilbert spectrum for the analysis of textures
Pattern Recognition
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We consider nonhomogeneous 2-D signals that can be represented by a constant modulus polynomial-phase model. A novel 2-D phase differencing operator is introduced and used to develop a computationally efficient estimation algorithm for the parameters of this model. The operation of the algorithm is illustrated using an example