kSpectra Toolkit 3.0.2


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 Sponsored links
License:
Commercialware
Category:
Math
Publisher:
SpectraWorks
Size:
15.5 MB
Last Updated:
2014-01-04
Operating System:
Mac OS X 10.6.6 or later
Price:
USD 189.00
Download
Publisher's description - kSpectra Toolkit 3.0.2
 
 Sponsored links

kSpectra Toolkit consists of a set of programs for advanced spectral analysis of univariate or multivariate time series arising in many of the physical sciences, ranging from electrical engineering and physics to geophysics and oceanography, as well as biomedical sciences.

NOTE: kSpectra Toolkit 3.0.2 can only be purchased via the Mac App Store (the buy link redirects you to its App Store page). To purchase/download applications via the App Store an Apple account is required.

To access the previous kSpectra Toolkit versions you can go to the developers project page HERE. The page provides access to kSpectra Toolkit 2.25 version (suitable for Mac OS X 10.6, demo)

Here are some key features of "kSpectra Toolkit":

· Multithreading for essential computations, which will avoid freezing the user`s interface and improve performance on multiprocessor system.
· Integrated Apple help.
· Drag-and-drop installation.
· Built-in plotting with great graphics, EPS and PDF output.
· Easy and intuitive object-based data management, single project files for all data and graphs; drag-and-drop importing of dataset files.
· It`s double-precision, core numerical linear algebra computations use the BLAS and Lapack functions in Apple`s Accelerate framework, which gives you most of the performance benefits of Apple`s Velocity Engine, and the best optimization for all "G-series" processors.
· Core Mac OS technologies: Automator, Spotlight, QuickLook, AppleScript.
· Core computational engine uses Accelerate framework, which provides the best optimization for both Power-PC and Intel based Macs.

What`s New in This Release: [ read full changelog ]

· GUI enhancement: reordering of plots in the browser view of Figures window; toolbar Print and Save options of selected plots.


 

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