Convolutional Codes & Viterbi Decoder

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Related lectures (28)

Convolutional Codes: Mapping Symbols and Paths

Covers Convolutional Codes, focusing on mapping symbols and paths.

Convolutional Codes: Decoding and Performance Analysis

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

Convolutional Codes: Encoding and Decoding

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

Convolutional Codes: Basics and Applications

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

Linear Block Codes: Basics

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

Linear Codes: Systematic vs Non-Systematic

Explores the creation of systematic linear codes and the transformation of non-systematic codes, showcasing their equivalence and importance in simplifying encoding and decoding processes.

Minimum Distance Decoding

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

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: Decoding and Eye Diagrams

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

Reed-Solomon Codes: Construction and Properties

Explores Reed-Solomon codes' construction, properties, decoding examples, linear codes, and applications in error correction on optical disks.

Error Correction Codes: Decoding and Communication

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

Convolutional Coder Introduction

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

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.

Lecture: Shannon

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

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.

Error Correction Codes: Syndrome and Hamming Codes

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

Error Correction Codes: Structure and Properties

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

Error-Correcting Codes

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

Error Correction Codes: Hamming Code

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

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