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Two-Dimensional Harmonic Retrieval in Correlative Noise Based on Genetic Algorithm
EURASIP Journal on Advances in Signal Processing
We propose a niche Genetic algorithm (GA) for the two-dimensional (2D) harmonic retrieval in the presence of correlative zero-mean, multiplicative, and additive noise. Firstly, we introduce a 2D fourth-order time-average moment spectrum which has extremum values at the harmonic frequencies. On this basis, the problem of harmonic retrieval is treated as a problem of finding the extremum values for which the niche GA is resorted. Utilizing the global searching ability of the GA, this method candoi:10.1155/2010/569371 fatcat:5fezl3dqgzbc5aesldhb6vvati