Concept
Decoding methods
Related lectures (56)
Error-Correcting Codes: Reed-Solomon
Explains Reed-Solomon error-correcting codes and their unique decoding property over finite fields.
Error Correction Codes: Decoding and Communication
Explores error correction codes, decoding algorithms, and their role in communication systems.
Advanced Information Theory: Random Binning
Explores random binning in advanced information theory, focusing on assigning labels based on typicality and achieving negligible error rates in source coding.
Minimum Distance Decoding
Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.
Error Correction Codes: Basics
Introduces erasure and error channels, Hamming distance, and error correction codes.
Cosets & Syndromes: Error Probability in Linear Codes
Explores cosets, syndromes, and error probability in linear codes.
Channel Coding: Convolutional Codes
Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.
Compression: Prefix-Free Codes
Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.
Communication Systems: Signal Transmission and Noise
Explores signal transmission, noise impact, and error probability calculations in communication systems.
Source Coding: Compression
Covers entropy, source coding, encoding maps, decodability, prefix-free codes, and Kraft-McMillan's inequality.