Homogenizing GPS Integrated Water Vapor Time Series: Benchmarking Break Detection Methods on Synthetic Data Sets
Sign Up to like & getrecommendations! Published in 2020 at "Earth and Space Science"
DOI: 10.1029/2020ea001121
Abstract: We assess the performance of different break detection methods on three sets of benchmark data sets, each consisting of 120 daily time series of integrated water vapor differences. These differences are generated from the Global… read more here.
Keywords: integrated water; time series; detection methods; break detection ... See more keywords
FPGA-embedded Linearized Bregman Iteration algorithm for trend break detection
Sign Up to like & getrecommendations! Published in 2020 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-020-01796-0
Abstract: Detection of level shifts in a noisy signal, or trend break detection, is a problem that appears in several research fields, from biophysics to optics and economics. Although many algorithms have been developed to deal… read more here.
Keywords: detection; trend break; linearized bregman; break detection ... See more keywords
On the Improvements of Metaheuristic Optimization-Based Strategies for Time Series Structural Break Detection
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DOI: 10.15388/24-infor572
Abstract: Structural break detection is an important time series analysis task. It can be treated as a multi-objective optimization problem, in which we ought to find a time series segmentation such that time series theoretical models… read more here.
Keywords: break detection; time series; structural break;