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Stanford University

Lossy Compression Basics and Quantization - Lecture 11

Stanford University via YouTube

Overview

Explore the fundamentals of lossy compression and quantization in this comprehensive lecture from Stanford University's EE274: Data Compression I course. Delve into the theory and applications of data compression techniques as presented by Professor Tsachy Weissman, an expert in Electrical Engineering. Gain insights from additional instructors Shubham Chandak and Pulkit Tandon as they cover essential concepts in lossy compression basics and quantization methods. Follow along with the course materials available on the official website and discover how these principles apply to real-world scenarios. This 1 hour and 24 minute video lecture is part of Stanford's broader online course offerings, providing an opportunity to engage with cutting-edge compression algorithms and their practical implementations.

Syllabus

Stanford EE274: Data Compression I 2023 I Lecture 11 - Lossy Compression Basics; Quantization

Taught by

Stanford Online

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