Lectures related to Convolutional Codes: Analysis and Applications

Channel Coding: Convolutional Codes

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

Lecture: Shannon

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

Channel Coding and BICM (LLRs)

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

Convolutional Codes: Decoding and Eye Diagrams

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

Convolutional Codes: Mapping Symbols and Paths

Covers Convolutional Codes, focusing on mapping symbols and paths.

Error Correction Codes: Theory and Applications

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

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.

Convolutional Codes: Encoding and Decoding

Explains the encoding and decoding process of convolutional codes using constellation prints.

Convolutional Codes: Decoding and Performance Analysis

Covers the decoding and performance analysis of convolutional codes in communication systems.

Convolutional Codes: Basics and Applications

Explores the basics and applications of convolutional codes in communication systems.

Quantum Correction Codes 4

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

Minimum Distance Decoding

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

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Convolutional Coder Introduction

Covers the introduction of Convolutional Coder, explaining its structure and operation.

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.

Error Correction Codes: Hamming Code

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

Convolutional Codes & Viterbi Decoder

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

Linear Block Codes: Basics

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

Error Correction Codes: Structure and Properties

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

Error-Correcting Codes: Reed-Solomon

Explains Reed-Solomon error-correcting codes and their unique decoding property over finite fields.