Advanced spectral analysis of time series for many sciences.
kSpectra Toolkit consists of a set of tools for advanced spectral analysis of time series in many sciences, ranging from finance and economics to geophysics and biomedical sciences.
Blackman-Tukey correlogram, the Maximum-Entropy Method, the Multi-Taper Method (MTM) and Singular-spectrum Analysis (SSA) are provided for spectral estimation. SSA and MTM can also be used for separation and reconstruction of trends, near-periodic and other significant components from noise, using sophisticated statistical significance tests, while Pincipal Component Analysis is available for data compression. See FAQ on spectral analysis for more information.
kSpectra Toolkit takes full advantage of Max OS X to provide you the best user experience and performance:
Updated on Jun 20 2020
Note: Now requires OS X 10.7 or later running on a 64-bit Intel processor