Lectures related to Error Correction Codes: Theory and Applications

Covers the basics of information theory, focusing on Shannon's setting and channel transmission.

Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.

Error Correction Codes: Hamming Code

Explores the Hamming Code for error correction, emphasizing its ability to correct single-bit errors.

Error Correction Codes: Basics

Introduces erasure and error channels, Hamming distance, and error correction codes.

Channel Coding and BICM (LLRs)

Explores channel coding, BICM, and LLRs in wireless communication systems, emphasizing the importance of error detection and correction.

Error-Correcting Codes: Hamming Distance and Polynomial Multiplication

Covers error-correcting codes, Hamming distance, and polynomial multiplication in algebraic fields.

Error Correction Codes: Decoding and Communication

Explores error correction codes, decoding algorithms, and their role in communication systems.

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Information Theory: Source Coding, Cryptography, Channel Coding

Covers source coding, cryptography, and channel coding in communication systems, exploring entropy, codes, error channels, and future related courses.

Error Correction Codes: Structure and Properties

Explores error correction codes, focusing on structure, properties, and the Singleton bound.

Error Correction

Covers error correction in quantum computing using Hamming codes and syndrome decoding.

Convolutional Codes: Decoding and Eye Diagrams

Covers the decoding process of convolutional codes and the analysis of eye diagrams.

Convolutional Codes: Analysis and Applications

Delves into the analysis and applications of convolutional codes, highlighting the significance of correct implementation for optimal results.

Convolutional Codes: Mapping Symbols and Paths

Covers Convolutional Codes, focusing on mapping symbols and paths.

Minimum Distance Decoding

Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.

Compression: Prefix-Free Codes

Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.

Error Correction Codes: Syndrome and Hamming Codes

Explains error correction codes, syndromes, Hamming codes, and error correction techniques.

Quantum Correction Codes 4

Explains quantum correction codes using two classic codes to correct errors, focusing on goal flips and headlight flips.

Quantum Correction Codes 2

Explores quantum error correction codes, including Hamming codes and repetition codes, noisy quantum coding, and single error correction.

Quantum Corrective Codes

Covers quantum corrective codes, error elimination, redundancy, classical coding, and parity matrices.