Time series are collected and studied extensively for the knowledge about the data source characteristics such as the trend or the spectral landscape. Some peaks in the spectral landscape correspond to dominant frequencies. The approach here is empirical: all time series are discrete and finite. Contents: Introduction. 1 Examples of periodic phenomena. 2 Algorithms and libraries. 3 Time series analysis. 4 Dominant frequency in ladar data. Conclusion. References.
Cite
@article{arxiv.1306.0103,
title = {Dominant Frequency Extraction},
author = {Rastislav Telgarsky},
journal= {arXiv preprint arXiv:1306.0103},
year = {2013}
}