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高效提升小波的电能质量暂态信号分析 被引量:5

Analysis of Transient Signals for Lifting Power Quality Efficiently in Wavelet Transform
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摘要 由于小波变换的空间局部化性质,其在电能质量的暂态信号分析上得到了广泛应用。然而由于连续小波变换、离散小波变换运算量过大,不是很适合片上实现,且实时性问题没有得到很好的解决。结合提升小波变换理论,介绍了一种只需移位和加法的提升滤波器,易于暂态信号分析的微处理器实现。仿真结果表明,所采用方法实时性强,适合暂态信号分析。 The wavelet transform is widely used in the transient signal analysis of power quality because of its spatial localization nature. However, due to the excessive computation quantities for CWT and DWT, it is not suitable for the on-chip implementation, and its real-time problems have yet to be properly resolved. Based on the wavelet transform theory, this paper introduces a lifting filter which only uses register shifts and summations. The method is suitable for the transient signal analysis implemented on the microprocessor. Simulation results show that the method has good real-time performance and is suitable for the transient signal analysis.
出处 《电网与清洁能源》 2011年第8期23-26,共4页 Power System and Clean Energy
基金 东北电力大学研究生创新基金(2008)
关键词 提升滤波器 小波变换 电能质量 暂态信号 lifting filter wavelet transform power quality transient signals
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