Explores entropy theory, compression without loss, and the efficiency of the Shannon-Fano algorithm in data compression.
Explores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.
Introduces data compression, exploring how redundancy in data can be reduced to achieve smaller file sizes without losing information.
Explores analog-to-digital conversion, neural signal optimization, multichannel architectures, and on-chip compression techniques in neuroengineering.
