jLab: A Matlab toolbox for data analysis

A Matlab toolbox for big data analysis, signal processing, mapping, and oceanographic applications.

jLab is a set of ~300 freely distributed Matlab functions for big data analysis, signal processing, wavelet analysis, mapping, and oceanographic applications. jLab is freely distributed using the Creative Commons Attribution-Noncommercial-ShareAlike License v 4.0.
The routines are well-commented, and heavily tested with a suite of ~400 automated tests. The toolbox includes innovative wavelet transform, time series analysis, and spatial mapping tools that have been specifically developed by the author and collaborators and published in the peer-reviewed literature.

Version 1.6.5 introduces the jMatern module for parametric spectral analysis and modeling using the Matérn process, a generalization of fractional Brownian motion to include a damping term.

For details see Lilly, J. M., A. M. Sykulski, J. J. Early, and S. C. Olhede (2017). Fractional Brownian motion, the Matérn process, and stochastic modeling of turbulent dispersion. Nonlinear Processes in Geophysics, 24: 481–514, https://www.nonlin-processes-geophys.net/24/481/2017.

Homepage and image gallery:
http://www.jmlilly.net/jmlsoft.html

Linked online documentation:
http://www.jmlilly.net/doc/jLab.html

Complete listing of all modules:
http://www.jmlilly.net/doc/jlab_allhelp.html

"Top ten" highlights:
http://www.jmlilly.net/doc/jlab_highlights.html

License:
http://www.jmlilly.net/doc/jlab_license.html

Associated datasets:
http://www.jmlilly.net/jmldata.html