YoVDO

Arithmetic Coding - Stanford EE274 Data Compression I Lecture 6

Offered By: Stanford University via YouTube

Tags

Information Theory Courses Computer Science Courses Electrical Engineering Courses Algorithms Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of arithmetic coding in this comprehensive lecture from Stanford University's EE274: Data Compression I course. Delve into advanced compression techniques as Professor Tsachy Weissman, along with instructors Shubham Chandak and Pulkit Tandon, guide you through the principles and applications of arithmetic coding. Gain valuable insights into this powerful data compression method, essential for efficient information storage and transmission. Follow along with the course materials available on the official website and discover how to apply these concepts in real-world scenarios. Perfect for electrical engineering students and professionals seeking to enhance their knowledge of data compression algorithms and theory.

Syllabus

Stanford EE274: Data Compression I 2023 I Lecture 6 - Arithmetic Coding


Taught by

Stanford Online

Tags

Related Courses

Information Theory
The Chinese University of Hong Kong via Coursera Intro to Computer Science
University of Virginia via Udacity Analytic Combinatorics, Part I
Princeton University via Coursera Algorithms, Part I
Princeton University via Coursera Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Stanford University via Coursera