Error Correction Codes: Decoding and Communication

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Covers the wrapping and decoding process of polar codes, exploring the trade-off between quality and efficiency in lossy compression.

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.

Compression: Prefix-Free Codes

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

Polar Coding for Binary Input Channels

Covers polar coding for binary input channels with low computational complexity and explicit identification.

Error Correction

Covers error correction in quantum computing using Hamming codes and syndrome decoding.

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.

Quantum Simulation: Complexity and Entropy

Covers quantum simulation complexity, entropy, and noisy quantum computing.

Convolutional Codes: Basics and Applications

Explores the basics and applications of convolutional codes in communication systems.

Error-Correcting Codes

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