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Lecture
Convolutional Codes: Encoding and Decoding
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Related lectures (27)
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.
Channel Coding: Convolutional Codes
Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.
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.
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: Analysis and Applications
Delves into the analysis and applications of convolutional codes, highlighting the significance of correct implementation for optimal results.
Convolutional Codes & Viterbi Decoder
Covers Convolutional Codes, Viterbi Algorithm, state and branch metric computations, and survivor path length limitations.
Convolutional Coder Introduction
Covers the introduction of Convolutional Coder, explaining its structure and operation.
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.
Error Correction Codes: Hamming Code
Explores the Hamming Code for error correction, emphasizing its ability to correct single-bit errors.
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.
Error Correction Codes: Theory and Applications
Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.
Error Correction Codes: Decoding and Communication
Explores error correction codes, decoding algorithms, and their role in communication systems.
Soft-Output MIMO Detection for BICM
Covers Soft-Output MIMO Detection for BICM, LLRs computation, BICM system model, and challenges of channel assumptions.
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.
Quantum Correction Codes 4
Explains quantum correction codes using two classic codes to correct errors, focusing on goal flips and headlight flips.
Lecture: Shannon
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
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