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Concept

Coding theory

Related lectures (28)

Compression: Prefix-Free Codes

Explains prefix-free codes for efficient data compression and the significance of uniquely decodable codes.

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.

Binary Coding: Channel Decoding

Explores binary channel decoding and vector spaces in coding theory.

Lecture: Shannon

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

Error-Correcting Codes

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

Source Coding and Prefix-Free Codes

Covers source coding, injective codes, prefix-free codes, and Kraft's inequality.

Designing Convolutional Codes

Covers the art of designing convolutional codes to improve communication rate.

Information Theory and Coding

Covers expected code word length, Huffman procedure, and entropy in coding theory.

Convolutional Codes: Mapping Symbols and Paths

Covers Convolutional Codes, focusing on mapping symbols and paths.

Convolutional Coder Introduction

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

Double-layered Timber Plate Shell: Python Tutorial Part 2 MOOC: Advanced Timber Plate Structural Design

Delves into advanced Python coding for double-layered timber plate shell structures.

Information Coding: Source, Cryptography, Channel

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

Secret Key Generation: Polar Coding

Explores secret key generation using polar coding for short blocklengths, discussing key capacity, rate-leakage pairs, and practical implementation.

Minimum Distance Decoding

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

Error Correction Codes: Basics

Introduces erasure and error channels, Hamming distance, and error correction codes.

Convolutional Codes: Decoding and Eye Diagrams

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

Error Correction Codes: Decoding and Communication

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

Error Correction Codes: Theory and Applications

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

Shannon-Fano Codes

Covers Shannon-Fano codes, a method for uniquely decodable and prefix-free coding, and discusses their optimality compared to the entropy.

Encode Your Avatar in a List

Covers the process of encoding an avatar in a list using blocks.