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A compression algorithm based on wavelet networks for historical data in process control system is developed in this paper. The implementation and computation process of the algorithm are described in detail. The simulation results show that the algorithm has the advantage of high convergence rate and compression ratio once applied to the compression and decompression process of pressure signals from...
To compress historical data in process industry and reduce data storage, a new compression method based on integer wavelet transform and SPIHT (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. Encoding the wavelet coefficient by SPIHT, the bit...
A denoising method based on wavelet packet shrinkage for pulp thickness signals in paper-making processes was developed in this research. The principle of wavelet packet shrinkage for denoising and the selection of thresholds and threshold functions were analyzed. Comparison of denoising results was made with different thresholds and different threshold functions for pulp thickness signals. The effectiveness...
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