An Automated Time-Shift Alignment Algorithm Based on Discrete to Continuous Approach
- 1 ENSET MohammedV University, Morocco
- 2 Director of Scientific Research and Innovation at the Ministry of Higher Education in Rabat, Morocco
Copyright: © 2020 Wajih Rhalem, Mourad Raji, Ahmed Hammouch and Jamal El Mhamdi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dealing with the variation in retention time and time series is one of the most popular challenges in the field of analysing data obtained from biological experiments. In most cases, this problem can lead to invalid conclusions. This work aims to propose a new method to cope with this problem by using the principle of the transition from discrete to continuous entities. The experimental results have shown good performance of the proposed algorithm that has been applied on different types of time series data.
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- Time Series
- Time Warping Similarity
- Distance Signal Alignment
- Discrete to Continuous