kSpectra 2.13

We develop novel tools for spectral analysis and estimation, significance testing, noise filtering and prediction of time series in geophysics, finance, and biomedical sciences. Check out our flagship software product - kSpectra Toolkit for Mac OS X!

Using spectral estimation tools of kSpectra, time series is decomposed into noise and significant components - trend and oscillatory modes, which can be reconstructed and predicted! Gap-filling procedure is provided for spectral analysis of datasets with missing observations or noneven sampling.