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 Hopeld 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.
SEE ALSO:
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !




