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Noisy Channel Simulator download for Windows

Free download Noisy Channel Simulator Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Noisy Channel Simulator whose latest release can be downloaded as noisychannel.py. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Noisy Channel Simulator 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.

SCREENSHOTS

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Noisy Channel Simulator


DESCRIPTION

This program was written to dimonstrate errors in transmission for a presentation on Claude Shannon's Noisy Channel Coding Theorem. It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any input file.



Audience

Education



Programming Language

Python


Categories

Communications, Simulations, Statistics

This is an application that can also be fetched from https://sourceforge.net/projects/noisychannelsim/. 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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