Title :
Data partitioning in parametric harmonic analysis
Author_Institution :
Energy Syst. Centre, Western Australia Univ., Nedlands, WA, Australia
fDate :
6/20/1996 12:00:00 AM
Abstract :
The key feature of the advance in parametric harmonic analysis reported that of partitioning the data series into a training set and a test set. Test errors are monitored in successive training error minimisations. The analysis procedure achieves high resolution between frequency components, and minimises the data window required in harmonic analysis
Keywords :
data handling; error analysis; harmonic analysis; identification; minimisation; signal processing; spectral analysis; data partitioning; data series; parametric harmonic analysis; test errors monitoring; test set; training error minimisations; training set;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19960784
