Basic Course Information
- Term: Winter Semester 2022/2023
- Instructor: Prof. Dr.-Ing. Thomas Wiegand
- Co-instructor: Dr. Jonathan Pfaff
- Presence Lecture
- Start of Lecture: October, 20, 2022
- Time of Lecture: Thursday, 10:15 – 11:45
- Lecture format: presence
- Last Lecture: February, 16, 2023
Location: tbd
Description
The principles of source coding for efficient transmission and storage are discussed. Based on the fundamentals of information and rate distortion theory, the most relevant techniques used in source coding algorithms are described: entropy coding, quantization as well as predictive and transform coding.
Topics
- Probability, Random Variables, and Processes
- Lossless Source Coding
- Rate Distortion Theory
- Quantization
- Predictive Coding
- Transform Coding
- Sub-band Coding
Textbook
T. Wiegand, H. Schwarz, "Source Coding: Part I of Fundamentals of Source and Video Coding, Foundations and Trends in Signal Processing", 2011
- Trainer/in: Thomas Wiegand