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Lecture
Convolutional Codes: Mapping Symbols and Paths
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Related lectures (27)
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.
Convolutional Codes: Decoding and Eye Diagrams
Covers the decoding process of convolutional codes and the analysis of eye diagrams.
Convolutional Codes: Analysis and Applications
Delves into the analysis and applications of convolutional codes, highlighting the significance of correct implementation for optimal results.
Error Correction Codes: Theory and Applications
Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.
Designing Convolutional Codes
Covers the art of designing convolutional codes to improve communication rate.
Binary Coding: Channel Decoding
Explores binary channel decoding and vector spaces in coding theory.
Coding Theorem: Proof and Properties
Covers the proof and properties of the coding theorem, focusing on maximizing the properties of lx and the achievable rate.
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.
Error Correction Codes: Structure and Properties
Explores error correction codes, focusing on structure, properties, and the Singleton bound.
Error Correction Codes: Basics
Introduces erasure and error channels, Hamming distance, and error correction codes.
Error Correction Codes: Decoding and Communication
Explores error correction codes, decoding algorithms, and their role in communication systems.
Minimum Distance Decoding
Explains Minimum Distance (MD) decoding on erasure channels with illustrative examples.
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.
Linear Block Codes: Basics
Covers the basics of linear block codes and systematic codes over a field F.
Lecture: Shannon
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
Error-Correcting Codes: Hamming Distance and Polynomial Multiplication
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