Convolutional Codes: Analysis and Applications

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Related lectures (27)

Page 2 of 3

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.