Lectures related to Channel Coding: Convolutional Codes

Channel Coding and BICM (LLRs)

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

Lecture: Shannon

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

Viterbi Decoder: State Metric Update & LLR Computation

Explores Viterbi algorithm, state metric updates, LLR computation, and decoding challenges.

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: Basics

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

Minimum Distance Decoding

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

Linear Block Codes: Basics

Covers the basics of linear block codes and systematic codes over a field F.

Convolutional Codes: Decoding and Eye Diagrams

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

Convolutional Codes & Viterbi Decoder

Covers Convolutional Codes, Viterbi Algorithm, state and branch metric computations, and survivor path length limitations.

Error Correction Codes: Theory and Applications

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Error Correction Codes: Structure and Properties

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

Cosets & Syndromes: Error Probability in Linear Codes

Explores cosets, syndromes, and error probability in linear codes.

Soft-Output MIMO Detection for BICM

Covers Soft-Output MIMO Detection for BICM, LLRs computation, BICM system model, and challenges of channel assumptions.

Error Correction

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

Error Correction Codes: Hamming Code

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

Quantum Correction Codes 4

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

Convolutional Codes: Mapping Symbols and Paths

Covers Convolutional Codes, focusing on mapping symbols and paths.

Convolutional Codes: Analysis and Applications

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

Linear Codes: Dimension and Hamming Weight

Discusses linear codes' dimension and Hamming weight with examples and theorems.