Error exponent

Applied sciences
Information engineering
Information theory
Channel capacity

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (12)

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.

Multi-user Gaussian Channels with Noisy Feedback

Delves into challenges and opportunities of multi-user Gaussian channels with noisy feedback, presenting a new mathematical framework.

Information Theory and Coding: Source Coding

Covers source coding, encoder design, and error probability analysis in information theory and coding.

Information Theoretic Security: Wiretap Channel

Explores secret key generation in the Wiretap Channel model and achievable key rate-leakage pairs.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Communication Channels: Encoding and Decoding

Explores encoding and decoding techniques in communication systems, focusing on fundamental limits and mutual information computations.

Error Correction Codes: Basics

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

Entropy and Data Compression: Huffman Coding Techniques

Discusses entropy, data compression, and Huffman coding techniques, emphasizing their applications in optimizing codeword lengths and understanding conditional entropy.

Huffman Coding: Optimal Prefix-Free Codes

Explores Huffman coding, demonstrating its optimality in average codeword length and prefix-free property.

Source Coding Theorems: Entropy and Source Models

Covers source coding theorems, entropy, and various source models in information theory.

Stationary Sources: Properties and Entropy

Explores stationary sources, entropy, regularity, and coding efficiency, including a challenging problem with billiard balls.

Information Theory: Sampling, Quantization, and Communication Systems

Explores nonuniform sampling, quantization, noise challenges, and communication theories.

Page 1 of 1