Curriculum
- 1 Section
- 18 Lessons
- 10 Weeks
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- Data Compression18
- 1.1Stanford EE274: Data Compression I 2023 I Lecture 1 – Course Intro, Lossless Data Compression Basics
- 1.2Stanford EE274: Data Compression I 2023 I Lecture 2 – Prefix Free Codes
- 1.3Stanford EE274: Data Compression I 2023 I Lecture 3 – Kraft Inequality, Entropy, Introduction to SCL
- 1.4Stanford EE274: Data Compression I 2023 I Lecture 4 – Huffman Codes
- 1.5Stanford EE274: Data Compression I 2023 I Lecture 5 – Asymptotic Equipartition Property
- 1.6Stanford EE274: Data Compression I 2023 I Lecture 6 – Arithmetic Coding
- 1.7Stanford EE274: Data Compression I 2023 I Lecture 7 – ANS
- 1.8Stanford EE274: Data Compression I 2023 I Lecture 8 – Beyond IID distributions: Conditional entropy
- 1.9Stanford EE274: Data Compression I 2023 I Lecture 9 – Context-based AC & LLM Compression
- 1.10Stanford EE274: Data Compression I 2023 I Lecture 10 – LZ and Universal Compression
- 1.11Stanford EE274: Data Compression I 2023 I Lecture 11 – Lossy Compression Basics; Quantization
- 1.12Stanford EE274: Data Compression I 2023 I Lecture 12 – Mutual Information; Rate-Distortion Function
- 1.13Stanford EE274: Data Comp. I 2023 I Lec 13 – Gaussian RD, Water-Filling Intuition; Transform Coding
- 1.14Stanford EE274: Data Compression I 2023 I Lec 14 – Transform Coding in real-life: image, audio, etc.
- 1.15Stanford EE274: Data Compression I 2023 I Lecture 15 – Image Compression: JPEG, BPG
- 1.16Stanford EE274: Data Compression I 2023 I Lecture 16 – Learnt Image Compression
- 1.17Stanford EE274: Data Compression I 2023 I Lecture 17 – Humans and Compression
- 1.18Stanford EE274: Data Compression I 2023 I Lecture 18 – Video Compression
Stanford EE274: Data Compression I 2023 I Lecture 2 – Prefix Free Codes
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