提出了一种基于容差动态调整的旋转门(SDT)改进压缩算法，该算法通过在数据压缩过程中，根据相近两个压缩区间的标准差对容差进行动态调整，并记录在压缩区间内对压缩精度影响较大的原始数据点，实现了压缩率的提高，压缩误差的降低。应用结果表明，该算法与标准的SDT算法相比，压缩率可以提高0.10%，而压缩精度却提高了56.7%。
Abstract
An improved swinging door trending (SDT) compression algorithm has been proposed, and its tolerance was changed dynamically by the standard deviation of the two compression intervals in order to improve the compression ratio. Furthermore, the original data point which had a great influence on the accuracy of compression in the compression interval was recorded in order to reduce the compression error. The application results of this algorithm indicate that the compression ratio was increased by 0.10% and the compression accuracy was increased by 56.7% compared with the standard SDT algorithm.
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