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Volterra2.0 to run in Windows online over Linux online dow

Free download Volterra2.0 to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Volterra2.0 to run in Windows online over Linux online whose latest release can be downloaded as Volterra2.0.1.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Volterra2.0 to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

Volterra2.0 to run in Windows online over Linux online


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DESCRIPTION

Orthogonal method for the Identification of Volterra series. It is an extension of Lee-Schetzen method with two major improvments:

1. Reduced identification uncertainty in diagonal kernel points.

2. Possibility to identify each Volterra kernel with an input with different variance.
This feature reduces the identification noise on lower order kernels and improve the "resolution" on higher order kernels.

For reference see:

Simone Orcioni. Improving the approximation ability of Volterra series identified with a cross-correlation method. DOI:10.1007/s11071-014-1631-7. pp.2861-2869. In NONLINEAR DYNAMICS - ISSN:0924-090X vol. 78 (4) 2014.

Audience

Science/Research, Engineering


User interface

Command-line


Programming Language

MATLAB



This is an application that can also be fetched from https://sourceforge.net/projects/volterra20/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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