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Lecture
Error Correction Codes: Structure and Properties
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Related lectures (30)
Error Correction Codes: Syndrome and Hamming Codes
Explains error correction codes, syndromes, Hamming codes, and error correction techniques.
Error Correction Codes: Basics
Introduces erasure and error channels, Hamming distance, and error correction codes.
Linear Block Codes: Basics
Covers the basics of linear block codes and systematic codes over a field F.
Error Correction Codes: Hamming Code
Explores the Hamming Code for error correction, emphasizing its ability to correct single-bit errors.
Radiation Hard Microelectronics
Explores radiation-hard microelectronics design, rad-hard ASIC libraries, and mitigation techniques for single-event effects.
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: Theory and Applications
Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.
Error-Correcting Codes: Hamming Distance and Polynomial Multiplication
Covers error-correcting codes, Hamming distance, and polynomial multiplication in algebraic fields.
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.
Lecture: Shannon
Covers the basics of information theory, focusing on Shannon's setting and channel transmission.
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.
Error-Correcting Codes: Reed-Solomon
Explains Reed-Solomon error-correcting codes and their unique decoding property over finite fields.
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Complement: Monotone Class Theorem
Explains the independence of events and sets in an algebraic context.
Linear Codes: Dimension and Hamming Weight
Discusses linear codes' dimension and Hamming weight with examples and theorems.
Prediction Tests
MOOC: Introduction to Discrete Choice Models
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Error Correction
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Covers error correction in quantum computing using Hamming codes and syndrome decoding.
Channel Coding: Convolutional Codes
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Explores channel coding with a focus on convolutional codes, emphasizing error detection, correction, and decoding processes.
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