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Stanford EE274: Data Compression I 2023 I Lecture 8 - Beyond IID distributions: Conditional entropy
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Classroom Contents
Data Compression - Theory and Applications
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- 1 Stanford EE274: Data Compression I 2023 I Lecture 1 - Course Intro, Lossless Data Compression Basics
- 2 Stanford EE274: Data Compression I 2023 I Lecture 2 - Prefix Free Codes
- 3 Stanford EE274: Data Compression I 2023 I Lecture 3 - Kraft Inequality, Entropy, Introduction to SCL
- 4 Stanford EE274: Data Compression I 2023 I Lecture 4 - Huffman Codes
- 5 Stanford EE274: Data Compression I 2023 I Lecture 5 - Asymptotic Equipartition Property
- 6 Stanford EE274: Data Compression I 2023 I Lecture 6 - Arithmetic Coding
- 7 Stanford EE274: Data Compression I 2023 I Lecture 7 - ANS
- 8 Stanford EE274: Data Compression I 2023 I Lecture 8 - Beyond IID distributions: Conditional entropy
- 9 Stanford EE274: Data Compression I 2023 I Lecture 9 - Context-based AC & LLM Compression
- 10 Stanford EE274: Data Compression I 2023 I Lecture 10 - LZ and Universal Compression
- 11 Stanford EE274: Data Compression I 2023 I Lecture 11 - Lossy Compression Basics; Quantization
- 12 Stanford EE274: Data Compression I 2023 I Lecture 12 - Mutual Information; Rate-Distortion Function
- 13 Stanford EE274: Data Comp. I 2023 I Lec 13 - Gaussian RD, Water-Filling Intuition; Transform Coding
- 14 Stanford EE274: Data Compression I 2023 I Lec 14 - Transform Coding in real-life: image, audio, etc.
- 15 Stanford EE274: Data Compression I 2023 I Lecture 15 - Image Compression: JPEG, BPG
- 16 Stanford EE274: Data Compression I 2023 I Lecture 16 - Learnt Image Compression
- 17 Stanford EE274: Data Compression I 2023 I Lecture 17 - Humans and Compression
- 18 Stanford EE274: Data Compression I 2023 I Lecture 18 - Video Compression
