Test-new-data-compression-technique
Version 12.0.0 (4.9 KB) by
Christian Schmidt
Test new data compression technique
IMPORTANT
Download the software directly from github the version on Matlab File Exchange will no longer be updated.
If you don't have Matlab, you can sign up and request the free trial version for one month. In order to use the program you have to add the following toolboxes (open matlab and click on Add-Ons):
Signal processing toolbox
DSP system toolbox
Communication toolbox
Registration and installation are very fast, so anyone can test the program in a short time.
Files description:
f_Statistics_Set_Shaping_Theory_Huffman_l.m
Matlab program that performs the data compression experiment.
fSSTt.p
Function that performs the transform
invfSSTt
Function that performs the inverse transform. Furthermore, if the transmitted file is modified by the noise, it can detect the error with a probability 1/(N+1), with N length of the sequence. When the error is detected, appear the message "error found".
In order to understand what the transform does, we suggest to read the following presentation:
https://www.academia.edu/61997612/Set_Shaping_Theory_the_future_of_information_theory_
For any clarification or suggestion contact us at the following e-mail:
Christian.Schmidt55u@gmail.com, adrain.vdberg66@yahoo.com
Cite As
Christian Schmidt (2024). Test-new-data-compression-technique (https://github.com/cschmidt55/-Test-new-data-compression-technique-V3), GitHub. Retrieved .
MATLAB Release Compatibility
Created with
R2022a
Compatible with any release
Platform Compatibility
Windows macOS LinuxTags
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Versions that use the GitHub default branch cannot be downloaded
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12.0.0 | new version |
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11.0.0 | new version |
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10.0.0 | new version |
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9.0.0 | new version |
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8.0.0 | new version |
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7.0.0 | new version |
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6.0.0 | new version |
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5.0.0 | new version |
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4.0.0 | new version |
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3.0.0 | new version |
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2.0.0 | new version |
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1.0.0 |
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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.