A Parameterization Power Data Compress Using Strong Trace Filter and Dynamics
作者： Shunfan He , Ming Zhang , Wei Tian , Junmin Zhang , Feng Ding
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摘要: This paper proposed a parameterization power data compress using strong trace filter (STF) and dynamics (Dyn). The STF estimates the fundamental harmonic component parameters. When there are only components, frame is compressed in parameter form. other disturbances, fading factors of Dyn used to recognize possible transient disturbances interharmonics, respectively. By subtracting residue coded by lifting wavelet transform (LWT). Then, estimated parameters LWT coefficients reconstruct signal. method places emphasis on two important steps has better performance than that related methods when ratio same.
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