event thumbnail image
Optimization and inference in machine learning and physics Workshop

A statistical mechanics analysis of ncoded CDMA with regular LDPC codes

author: David Saad, Aston University

Description

Ne obstaja

You might be experiencing some problems with Your Video player.
Slides
0:01 A statistical mechanics analysis of coded CDMA with regular LDPC codes
0:25 Outline
0:58 Overview: Mobile communication system
2:04 Multiple access (1)
2:22 Multiple access (2)
2:47 CDMA: Principle
3:46 CDMA: Principle
4:04 CDMA: Principle
5:44 CDMA channel (K users)
6:24 CDMA detection problem
6:43 Remark 1: Relationship with Perceptron
7:34 Analysis: Bayesian framework
8:24 Bayes decision theory
10:38 Statistical-mechanical analysis
11:43 Replica analysis
15:58 Binary uniform prior, AWGN
16:16 Binary uniform prior, AWGN
17:07 Remark 2: Relationship with Hop eld models
18:03 Error correcting codes
19:00 Regular LDPC Codes
19:52 Gallager's Code
23:56 Motivation: LDPC-coded CDMA
28:32 LDPC-coded CDMA
28:58 LDPC-coded CDMA
31:01 Free energy
34:05 LDPC-coded CDMA - Hamiltonian
34:08 LDPC-coded CDMA
34:43 LDPC-coded CDMA
35:41 LDPC-coded CDMA
37:53 LDPC-coded CDMA
46:52 LDPC-coded CDMA
48:05 Individual optimum decoding
48:45 Detection and decoding
49:32 Individual optimum decoding I
51:30 Individual optimum decoding II

Lecture rating

People found this lecture:
Worth seeing
because it is:
 Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: