A Compression of Digital Data Using Linear Algebraic Methods

Researcher Information

Qaas Shoukat

Project Type

Event

Start Date

7-4-2017 12:00 AM

End Date

7-4-2017 12:00 AM

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Apr 7th, 12:00 AM Apr 7th, 12:00 AM

A Compression of Digital Data Using Linear Algebraic Methods

Data compression is the most important software tool to enhance the performance of digital devices without implementing significant and costly hardware modifications. This poster will discuss the basics of digital data compression and how it is used to optimize data storage. By highlighting some pitfalls of current compression methods, the need for more efficient methods will be illustrated. The mathematical foundations of a novel compression method based on linear algebraic operations will then be presented. One goal of this poster is to present some issues within a number of current compression methods, such as JPEG compression. Another goal is to showcase some applications of the newly developed compression method.