Research on new method for compressing recorded chemical process data
Peng Jiang · Journal of Zhejiang University(Engineering Science) · 2002
For compressing historical data on chemical process and reducing data storage, a new compression method based on integer wavelet transform and set partitioning in hierarchical trees was proposed. Wavelet coefficients and temporal orientation trees were obtained by utilizing integer wavelet transform to decompose the original data into five layers. After encoding the wavelet coefficient by set partitioning in hierarchical trees, the bit plane was exported. Encoding the bit plane by adaptive arithmetic encoder yielded higher compression ratio. Simulation results show that the method does not need float operation and uses the comparability of wavelet coefficients in each scale. The features of the method were low computation complexity, fast compression rate, high compression ratio and small reconstruction difference when the method is applied to the compression decompression process of temperature signals from a paper mill.