Wavelet-based adaptive multimode data compression algorithm
Proceedings of SPIE - The International Society for Optical Engineering, ISSN: 1996-756X, Vol: 13214
2024
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85200776138&origin=inward; http://dx.doi.org/10.1117/12.3033374; https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13214/3033374/Wavelet-based-adaptive-multimode-data-compression-algorithm/10.1117/12.3033374.full; https://dx.doi.org/10.1117/12.3033374; https://www.spiedigitallibrary.org/access-suspended
SPIE-Intl Soc Optical Eng
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