Run-length encoding

Related lectures (8)

Explores the advantages of Decomposition Storage Model with column-oriented storage and various compression techniques.

Demonstrates the calculation of entropy for a specific example, resulting in an entropy value of 2.69.

Explores the relationship between code word length and probability distribution, focusing on designing prefix-free codes for efficient compression.

Discusses conditional entropy and its role in data compression techniques.

Covers the basics of quantitative imaging for civil engineers, including pixel definition, sensor workings, noise sources, and image formation.

Summarizes Shannon's theorem, emphasizing the importance of entropy in data compression.

Covers source coding, typical sequences, stationarity, and efficient encoding in information theory.

Covers source coding, encoder design, and error probability analysis in information theory and coding.

Page 1 of 1