Lectures:
1. Theory of Information
2. Theory of Probability
3. Markov models in Data Compression
4. Statistical methods of Compression
5. Dictionary methods of Compression
6. Transformations for Data Compression
7. Vector Quantization
8. Efficient data Structures for Data Compression
9. Similarity using Data Compression
10. Application of Data Compression algorithms
Exercise:
Follows the lecture content.
1. Theory of Information
2. Theory of Probability
3. Markov models in Data Compression
4. Statistical methods of Compression
5. Dictionary methods of Compression
6. Transformations for Data Compression
7. Vector Quantization
8. Efficient data Structures for Data Compression
9. Similarity using Data Compression
10. Application of Data Compression algorithms
Exercise:
Follows the lecture content.