Convolutional Codes: Basics and Applications

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Related lectures (28)

Page 2 of 3

Covers Convolutional Codes, Viterbi Algorithm, state and branch metric computations, and survivor path length limitations.

Linear Codes: Dimension and Hamming Weight

Discusses linear codes' dimension and Hamming weight with examples and theorems.

Information Coding: Source, Cryptography, Channel

Covers source coding, cryptography, and channel coding for communication systems.

Error Correction Codes: Decoding and Communication

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

Error Correction Codes: Hamming Code

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

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

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 Correction Codes: Theory and Applications

Covers error correction codes theory and applications, emphasizing the importance of minimizing distance for reliable communication.

Minimum Distance Decoding

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

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.