# Difference between revisions of "C-Graph"

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{{Entry | {{Entry | ||

|Name=C-Graph | |Name=C-Graph | ||

− | |Short description=software for visualizing convolution | + | |Short description=software for visualizing convolution and demonstrating the convolution theorem |

|Full description=GNU C-Graph is a tool for visualizing the mathematical operation of convolution underlying natural phenomena susceptible to analysis in terms of engineering signals and systems theory. "C-Graph" is an abbreviation for "Convolution Graph". The package is derived from the BSc. Honours dissertation in Electrical Engineering "Interactive Computer Package Demonstrating: Sampling Convolution and the FFT", Adrienne Gaye Thompson, University of Aberdeen (1983). The package computes the linear convolution of two signals in the time domain then compares their circular convolution by demonstrating the convolution theorem. Each signal is modelled by a register of discrete values simulating samples of a signal, and the discrete Fourier transform (DFT) computed by means of the Fast Fourier Transform (FFT). GNU C-Graph is interactive, prompting the user to enter character or numerical values from the keyboard, dispensing with the learning curve for writing code. The software will be useful to students of signals and systems theory. C-Graph is written in contemporary Fortran. You can find pre-GNU development versions at: <http://codeartnow.com/code/download/c-graph-1/c-graph-version-2-preview>. Adrienne Gaye Thompson is the sole author of GNU C-Graph and looks forward to sharing further development with the FLOSS community. | |Full description=GNU C-Graph is a tool for visualizing the mathematical operation of convolution underlying natural phenomena susceptible to analysis in terms of engineering signals and systems theory. "C-Graph" is an abbreviation for "Convolution Graph". The package is derived from the BSc. Honours dissertation in Electrical Engineering "Interactive Computer Package Demonstrating: Sampling Convolution and the FFT", Adrienne Gaye Thompson, University of Aberdeen (1983). The package computes the linear convolution of two signals in the time domain then compares their circular convolution by demonstrating the convolution theorem. Each signal is modelled by a register of discrete values simulating samples of a signal, and the discrete Fourier transform (DFT) computed by means of the Fast Fourier Transform (FFT). GNU C-Graph is interactive, prompting the user to enter character or numerical values from the keyboard, dispensing with the learning curve for writing code. The software will be useful to students of signals and systems theory. C-Graph is written in contemporary Fortran. You can find pre-GNU development versions at: <http://codeartnow.com/code/download/c-graph-1/c-graph-version-2-preview>. Adrienne Gaye Thompson is the sole author of GNU C-Graph and looks forward to sharing further development with the FLOSS community. | ||

|Homepage URL=http://www.gnu.org/software/c-graph | |Homepage URL=http://www.gnu.org/software/c-graph | ||

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{{Software category | {{Software category | ||

|Interface=x-window-system | |Interface=x-window-system | ||

+ | |Mathematics=theorem-prover | ||

|Science=engineering, scientific-visualization | |Science=engineering, scientific-visualization | ||

|Use=education, mathematics, science | |Use=education, mathematics, science | ||

}} | }} | ||

{{Featured}} | {{Featured}} |

## Revision as of 10:45, 17 May 2012

### C-Graph

http://www.gnu.org/software/c-graph

software for visualizing convolution and demonstrating the convolution theorem

GNU C-Graph is a tool for visualizing the mathematical operation of convolution underlying natural phenomena susceptible to analysis in terms of engineering signals and systems theory. "C-Graph" is an abbreviation for "Convolution Graph". The package is derived from the BSc. Honours dissertation in Electrical Engineering "Interactive Computer Package Demonstrating: Sampling Convolution and the FFT", Adrienne Gaye Thompson, University of Aberdeen (1983). The package computes the linear convolution of two signals in the time domain then compares their circular convolution by demonstrating the convolution theorem. Each signal is modelled by a register of discrete values simulating samples of a signal, and the discrete Fourier transform (DFT) computed by means of the Fast Fourier Transform (FFT). GNU C-Graph is interactive, prompting the user to enter character or numerical values from the keyboard, dispensing with the learning curve for writing code. The software will be useful to students of signals and systems theory. C-Graph is written in contemporary Fortran. You can find pre-GNU development versions at: <http://codeartnow.com/code/download/c-graph-1/c-graph-version-2-preview>. Adrienne Gaye Thompson is the sole author of GNU C-Graph and looks forward to sharing further development with the FLOSS community.

### Documentation

A tutorial is included in the manual which is also distributed in pdf and other formats.

**This is a GNU package**:`c-graph`

## Download

Download
version 2.0
(stable)

released on 26 April 2012

### Categories

## Licensing

License | Verified by | Verified on | Notes |
---|---|---|---|

License:GPLv3orlater | Karl Berry | 13 May 2012 |

## Leaders and contributors

Contact(s) | Role |
---|---|

Adrienne Gaye Thompson | Author, Maintainer |

## Resources and communication

## Software prerequisites

This entry (in part or in whole) was last reviewed on 20 September 2016.

Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.