ECE 7620

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  • Schedule of Classes - September 10, 2024 10:17AM EDT
  • Course Catalog - September 10, 2024 9:48AM EDT
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ECE 7620
Fundamentals of Data Compression

Course information provided by the Courses of Study 2024-2025. Courses of Study 2024-2025 is scheduled to publish mid-June.

Fundamental limits and practical algorithms for data compression. Entropy and other information measures. Variable and fixed-length lossless and lossy source codes. Universal compression. Single-source and network configurations. Applications to text, multimedia compression, and machine learning. This course is intended for Ph.D. students. M.Eng. students should enroll in ECE 5620.

When Offered Spring.

Prerequisites/Corequisites Prerequisite: ECE 4110 and basic Python programming skills.

Comments This course is intended for Ph.D. students. M.Eng. students should enroll in ECE 5620.

Outcomes
  • Demonstrate use of information measures including entropy, mutual information, relatively entropy, and their properties.
  • Compute theoretical limits to compression for both lossless and lossy problems.
  • Analyze the performance of lossless and lossy compression schemes, including comparing their performance against the theoretical limits.
  • Design lossless and lossy compression algorithms for provided datasets that approach the theoretical limits.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: ECE 5620

  • 3 Credits Graded

  • 19937 ECE 7620   LEC 001

  •  
    • TR
    • Aug 26 - Dec 9, 2024

    • Wagner, A