在对常用数据压缩、编码方法分析的基础上,充分利用电力系统波形数据的周期性、有界性和冗余性等特点,同时分别选用游程编码和EZW编码,在DSP平台上实现了基于DCT变换、提升小波变换的压缩方法.文章对两种压缩方法实现、性能和还原效果方面进行了全面分析,认为基于提升小波与EZW编码的压缩方法可记录数据突变特征,具有压缩比和还原精度可调等特点,更适合于压缩大量电力系统故障波形数据压缩.%Power quality monitor and waveform recorder are very important equipments for security and stability a-nalysis of the electric power system. In those equipments, the core technology is power system waveform data compression method with high compression ratio. In this paper, commonly used data compression and coding method are studied firstly. Taking advantage of characteristics of the power system waveform data such as periodic, bounded and redundancy, compression methods based on DCT transform and lifting wavelet transform are imple-mentated on the DSP platform. Then, implementation, performance and reduction effect of the two compression methods are comprehensively analyzed. It is found that the compression method based on lifting wavelet and EZW coding can record abrupt data changes and has the features of adjustable compression ratio and precision restoration. The method is more suitable for compression of large amounts of power system failure waveform data.
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