Wavelet-based adaptive multimode data compression algorithm
Fei Teng, Guangyuan Xu, J. Liu, Xinyue Tang, Jian Wang, Xinxin Guo · 2024
Based on the multimodal nature of data, a wavelet-based adaptive multimodal data compression algorithm is designed. The algorithm adaptively adjusts the classification of the data under a given correlation threshold, fits the correlated data using least squares estimation, abstracts the featured data into a matrix, and removes spatial and temporal correlations from the data using wavelet transforms. Theoretical analysis and simulation experiments show that the new algorithm can effectively remove the multimodal correlation between data and the spatial and temporal correlation of the same data, and the new algorithm effectively improves the compression ratio and reduces the energy consumption of the network.