'Rate distortion' diaporamas de présentation

On Lossy Compression

563 views • 55 slides

Multi-Terminal Information Theory Problems in Sensor Networks

Multi-Terminal Information Theory Problems in Sensor Networks. Gregory J Pottie Professor, Electrical Engineering Department Associate Dean, Research and Physical Resources Deputy Director, NSF Center for Embedded Networked Sensing (CENS)

628 views • 51 slides

Multi-Terminal Information Theory Problems in Sensor Networks

Multi-Terminal Information Theory Problems in Sensor Networks. Gregory J Pottie Professor, Electrical Engineering Department Associate Dean, Research and Physical Resources Deputy Director, NSF Center for Embedded Networked Sensing (CENS)

519 views • 51 slides

Multi-Terminal Information Theory Problems in Sensor Networks

Multi-Terminal Information Theory Problems in Sensor Networks. Gregory J Pottie UCLA Electrical Engineering Department pottie@icsl.ucla.edu. General Issues Basic tools of information theory Multi-terminal information theory Applications Data fusion Cooperative communication My pet ideas.

331 views • 33 slides

Transport of Real-Time Flows

Transport of Real-Time Flows. Bernd Girod Information Systems Laboratory Stanford University. THE MEANING OF FREE SPEECH The acquisition by eBay of Skype is a helpful reminder to the world's trillion-dollar telecoms industry that all phone calls will eventually be free . . .

438 views • 32 slides

ECE-C490 Winter 2004 Image Processing Architecture

ECE-C490 Winter 2004 Image Processing Architecture. Lecture 4, 1/20/2004 Principles of Lossy Compression Oleh Tretiak Drexel University. Review: Lossless Compression. Compression: Input is a sequence of discrete symbols Main theoretical tool: Entropy Technology: Coding Methods

406 views • 30 slides

H.264 Rate-Distortion Optimization and Rate Control

H.264 Rate-Distortion Optimization and Rate Control. MC Course, 2009 Ref: Siwei Ma, Wen Gao, and Yan Lu,

709 views • 23 slides

Rate-Control in Video Codec

Rate-Control in Video Codec. Heejune AHN Embedded Communications Laboratory Seoul National Univ. of Technology Fall 200 8 Last updated 2008. 11. 16. Agenda . Basic Concepts Rate-Distortion Theory Practical Rate-Control Algorithms Other issues. 1. Rate Control Concepts. Key players

517 views • 23 slides

Network Source Coding

Network Source Coding. Lee Center Workshop 2006 Wei-Hsin Gu (EE, with Prof. Effros). Outline. Introduction Previously Solved Problems Our Results Summary. Problem Formulation (1). General network : A directed graph G = (V,E). Source inputs and reproduction demands .

337 views • 21 slides

Bregman Information Bottleneck

331 views • 21 slides

Rate Distortion Optimization for Mesh-based P2P Video Streaming

Rate Distortion Optimization for Mesh-based P2P Video Streaming Tareq Hossain, Yi Cui, Yuan Xue V anderbilt A dvanced Net work and S ystems Group Vanderbilt University, USA Presenter: Dr. Sachin Agarwal Deutsche Telekom Laboratories Outline Motivation Video Broadcast Can P2P Help?

697 views • 17 slides

Rate Distortion Theory

Rate Distortion Theory. Introduction. The description of an arbitrary real number requires an infinite number of bits, so a finite representation of a continuous random variable can never be perfect.

318 views • 16 slides

A Mathematical Theory of Communication

Paper Review. A Mathematical Theory of Communication. By C.E. Shannon. Jin Woo Shin Sang Joon Kim. Contents. Introduction Summary of Paper Discussion. Introduction. This paper opened the information theory.

655 views • 13 slides