Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

Data Compression I - Lecture 2: Prefix Free Codes

Stanford University via YouTube

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the fundamentals of prefix-free codes 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 guide you through this essential topic in information theory. Over the course of 1 hour and 17 minutes, learn how prefix-free codes form the foundation for many compression algorithms. Access supplementary materials and follow along with the lecture content through the provided course website. For those interested in pursuing a deeper understanding of data compression, explore enrollment options for the full online course offered by Stanford University.

Syllabus

Stanford EE274: Data Compression I 2023 I Lecture 2 - Prefix Free Codes

Taught by

Stanford Online

Reviews

Start your review of Data Compression I - Lecture 2: Prefix Free Codes

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.