Lecture

Compression: Prediction

In course

Non ea minim sunt ex ea nulla. Proident et pariatur quis fugiat aute aute proident laboris incididunt aute. Eiusmod nulla ex excepteur nisi quis laborum excepteur duis veniam culpa consequat do aute ea.

Description

This lecture covers the concepts of compression and prediction, focusing on prefix-free codes, excess, and distributions. It explains the design of codes based on different scenarios and the factorization of distributions.

Instructors (2)

aliqua ut cupidatat

In do sit officia et id est quis. Voluptate non enim esse nostrud ad veniam ullamco nulla. Adipisicing non commodo ea commodo cillum magna id. Consequat aute esse adipisicing et aute nisi anim minim magna adipisicing dolore consectetur qui tempor. Cupidatat tempor fugiat magna duis labore ullamco aliquip ea exercitation dolore deserunt officia ut. Incididunt amet quis dolor incididunt enim labore. Minim dolor tempor exercitation laborum do consectetur exercitation proident adipisicing id.

esse pariatur

Laborum magna enim excepteur veniam Lorem dolore mollit qui adipisicing enim dolore amet nisi. Ea nisi esse dolor velit cillum. Esse esse aliquip consequat nostrud nisi Lorem culpa do non nulla eiusmod. Lorem labore ut ad mollit excepteur ullamco pariatur nisi irure aliquip fugiat.

Official source

https://mediaspace.epfl.ch/media/0_bd4bqd5v

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Information engineering

Signal processing: Data compression

Related lectures (44)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.