Convolutional Codes: Analysis and Applications

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (28)

Lecture: Shannon

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

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.

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.

Error Correction Codes: Hamming Code

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

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.

Error Correction Codes: Basics

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

Designing Convolutional Codes

Covers the art of designing convolutional codes to improve communication rate.

Compression: Prefix-Free Codes

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

Error-Correcting Codes

Explores error-correcting codes, decoding processes, constraints satisfaction, randomness in code selection, and error compensation methods.

Error Correction Codes: Decoding and Communication

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

Page 1 of 2