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Lecture
Information: Coding and Processing
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Related lectures (31)
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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.
Cryptography Basics
Covers authentication, authorization, encryption techniques, vulnerabilities, and the impact of quantum computing on cryptography.
Data Compression and Shannon's Theorem: Huffman Codes
Explores the performance of Shannon-Fano algorithm and introduces Huffman codes for efficient data compression.
Universal Source Coding
Covers the Lempel-Ziv universal coding algorithm and invertible finite state machines in information theory.
Compression
Covers the concept of compression and constructing prefix-free codes based on given information.
Error Correction Codes: Basics
Introduces erasure and error channels, Hamming distance, and error correction codes.
Interaction of E-M Waves with Matter: Transmission, Absorption, Reflection
Explores how electromagnetic waves interact with matter, emphasizing transmission, absorption, and reflection.
Data Compression and Shannon's Theorem Summary
Summarizes Shannon's theorem, emphasizing the importance of entropy in data compression.
Quantum Optics of Resonators
Explores quantum optics of resonators, covering cavity Hamiltonian, quantum Langevin equations, Purcell effect, and cavity QED.
Moscow e-Voting: Encryption Scheme Breakdown
Explores the vulnerabilities of the Moscow Internet Voting System and the fixes implemented after attacks on the encryption scheme.
