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Project SPARC App

Project SPARC

Sparse Regression Codes for Erasure Queue Channels

Project SPARC utilizes the principles of Information Theory to explore how Sparse Regression Codes can be redesigned to reliably transmit data over Erasure Queue Channels.
The aim is to show that certain scrambled versions of SPARC codes can perform optimally in such channel models, ensuring robust communication and information transfer.

Application

Changelog:

v1: Initial release
v2.1: Fixed typos in section 1.2, 1.3 and 1.5 regarding PDFs, Gaussian Distributions and variance.
v2.2: Updated entropy definition in section 3.1 to the general version.
v2.3: Fixed typo in 1.4 regarding the Normal distribution

Deadline: 30th May 2025 EOD

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Project Member Application: SPARC

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