Time Series Alignment

Time series alignment refers to the process of synchronizing time series data with different time scales or sampling rates through specific algorithms to achieve precise matching and comparison. Its main objective is to eliminate time offsets and scale differences, ensuring consistency of time series on the time axis. Time series alignment has significant application value in fields such as financial analysis, medical monitoring, and industrial control, as it can improve the accuracy and reliability of data analysis.