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Optimal harmonic estimation Using Dynamic Bacterial Swarming Algorithm

This paper presents a dynamic bacterial swarming algorithm (DBSA) for harmonic estimation in dynamic environment. DBSA is designed from a dynamic searching framework that combines the underlying mechanisms of bacterial chemotaxis, quorum sensing and environment adaptation. The harmonic estimation process utilizes DBSA to estimate the phases of the harmonics, alongside a least square (LS) method to estimate the amplitudes. A cost function is given as an error between the original signal and the reconstructed signal.