Data Compression: Theory & Applications | Stanford EE274
Comprehensive course covering the theory and practical applications of data compression techniques, including lossless and lossy algorithms.
Introduction
This course provides a comprehensive overview of data compression techniques, covering both the theoretical foundations and practical applications of data compression. It explores various compression algorithms, their underlying principles, and their performance characteristics.
Highlights
- Covers the theory and applications of data compression
- Examines a wide range of compression algorithms, including lossless and lossy techniques
- Discusses the trade-offs between compression ratio, computational complexity, and data quality
- Provides practical examples and case studies to illustrate the concepts
Recommendation
This course is highly recommended for students and professionals interested in data processing, multimedia, and communication systems. It offers a solid foundation in data compression principles and equips learners with the knowledge to effectively apply compression techniques in real-world scenarios.
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