kSpectra Lite is a scientific application for advanced time series analysis. It is a "Lite" version of fully featured kSpectra app also available in App Store.
kSpectra Lite provides a set of powerful tools for analysis of univariate or multivariate time series in various sciences, ranging from electrical engineering and physics to geophysics, as well as life, biomedical sciences, finance and economics. kSpectra Lite helps to identify and predict periodic signals in noisy and short and gappy time series, when standard methods (FFT/wavelets etc) have limited applicability. kSpectra Lite contains procedures for:


- estimating the spectrum, cross-spectrum and coherence,


- decomposing the time series into trends, oscillatory components, and noise by using sophisticated statistical significance tests,


- reconstructing and predicting the contributions of trends and near-periodic components of the time series,
- gap-filling technique for analysis of datasets with missing data.