Lectures related to Data Compression and Entropy: Compression

Data Compression and Shannon's Theorem: Huffman Codes

Explores the performance of Shannon-Fano algorithm and introduces Huffman codes for efficient data compression.

Explores the Source Coding Theorem, entropy, Huffman coding, and conditioning's impact on entropy reduction.

Video Compression: Standards & Techniques

Explores the evolution of video compression standards and techniques, from H.261 to VVC, emphasizing advancements in compression efficiency and video quality.

Information in Networked Systems: Functional Representation and Data Compression

Explores traditional information theory, data compression, data transmission, and functional representation lemmas in networked systems.

Neural Signal Compression

Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Data Compression and Shannon Fano Coding

Explores practical data compression using Shannon Fano coding and the engineering challenges of compressing diverse data types.